数据库培训

数据库培训

数据库培训,Database培训

客户评论

SQL Programming

Having a 1-1 training course was very effective, it meant I was less intimidated as I could stop the trainer to ask questions where I may otherwise have been reluctant to ask. The trainer was very good at explaining everything that I needed to know and took the time to make sure going back where needed to re explain when I got stuck.The training was very clear and concise and tailored very well to my own individual needs.The training has covered all the points it needed too. — Robert Craft

 

Zurich Employment Services Limited

Cassandra for Developers

The last exercise was very good.

José Monteiro - Farfetch Portugal - Unipessoal, Lda

Advanced SQL, Stored Procedures and Triggers for Microsoft SQL Server

Attention to detail, knowledge and enthusiasm for the subject

Bristol City Council

MongoDB for Administrators

The depth of the Mongo db training was explored from basic to advanced, I felt it was a little too much to squeeze into 2 days but I did get exposure to all aspects of Mongo db.

Bay Sayarath - Availity

Beyond the relational database: neo4j

The trainer did bring some good insight and ways to approach developing a graph database. He used examples from the slides presented but also drew on his own experience which was good.

Autodata Ltd

Transact SQL Advanced

The ability to ask questions at any time and the more informal / less structured style. This allowed us to pursue the areas of knowledge we were most interested in.

Jim Lane - Bristol City Council

SQL Programming

This course was truly fantastic, spot-on! It covers the basics but also details of SQL language. I will definitely recommended this course to my colleagues. There simply isn't another course out there that would give you so much in such a short period of time, great value for money. A must for any beginner or intermediate SQL user!

 

Piotr Olczak Planing Officer - Brunel University

MongoDB for Administrators

Adrian was knowledgeable in Linux and MongoDB. He was able to troubleshoot the labs on our computers very quickly when we had mistakes.

MInistry of Defence

SQL Programming

The course content was adapted well to suit my current knowledge and capabilities. Specific topics I requested were covered well.

 

Steven Sirman - Corus Group

Building Web Apps using the MEAN stack

The labs were interesting and probably the most useful learning tool to me. Anything I missed or forgot about was relearned or reinforced in the labs.

Joseph Fuerst - The Aerospace Corporation

Data Analysis with Hive/HiveQL

It was a very practical training, I liked the hands-on exercises.

Proximus

MongoDB for Administrators

Good content and exercises

Richard Smallwood - PayPoint Network Limited

Oracle SQL Intermediate

Access to trainers individual support in resolving exercises.

Tomasz Czornak - UBS Business Solutions Poland Sp. z o.o.

Cassandra Administration

The 1:1 style meant the training was tailored to my individual needs.

Andy McGuigan - Axon Public Safety UK Limited

SQL Fundamentals

Shafeeq has good knowledge of SQL and was keen to share this.

Ben Cook - Quest Software

Redis for Developers and System Administrators

training knowledge and techinic

Sutiipong Bumlungvech - The Enterprise Resources Training Co., Ltd.

Redis for Administrators

knowledge of the trainer

Daniel Casas - ADP EMPLOYER SERVICES IBERIA, S.L.U.

Data Analysis with Hive/HiveQL

Dynamic interaction and "hands on" the subject, thanks to the Virtual Machine, very stimulating!

Philippe Job - Proximus

MariaDB Database Administration

lessons and examples

Kelly Taylor - FEDERAL AVIATION ADMINISTRATION

MariaDB Database Administration

Training material was very informative. Learned a lot

Yaw Asamoah - FEDERAL AVIATION ADMINISTRATION

MongoDB for Administrators

monitoring

Ling Xiao - The Globe and Mail

Cassandra for Developers

There was a lot of knowledge and material shared that will help me to do my current tasks.

Miguel Fernandes - Farfetch Portugal - Unipessoal, Lda

SQL Programming

Good

 

Zan Sue - Net Media Planet

MariaDB Database Administration

he adapted to the experience of the group - gave us great value for a beginners course.

Rich Mickey - FEDERAL AVIATION ADMINISTRATION

Cassandra for Developers

The amount of exercises. We could immediately apply the knowledge shared and ensure the information was on point.

Joana Pereira - Farfetch Portugal - Unipessoal, Lda

MongoDB for Developers

He (the trainer) used good real world examples and pitched the exercises at the right level

Martin Davies- Capgemini UK Plc

Cassandra for Developers

The practical exercises and examples of implementing examples of real models and contexts

Leandro Gomes - Farfetch Portugal - Unipessoal, Lda

MongoDB for Administrators

Most of the hands on stuff was good.

Andrew Bauer - Availity

SQL Fundamentals

I learned a LOOOOOT

Kamil Szmid - UBS Business Solutions Poland Sp. z o. o.

Redis for Administrators

the slides were very specifics, so, the information was just the necessary,

Jose Ballester - ADP EMPLOYER SERVICES IBERIA, S.L.U.

SQL Programming

I really can't praise this course and the trainers highly enough! They were both extremely well qualified and made the subject interesting. The pace of the course was excellent and I've come away feeling very satisfied with the skills I've learned.

 

Susan Elder - Merrill Lynch

Advanced SQL, Stored Procedures and Triggers for Microsoft SQL Server

Attention to detail, knowledge and enthusiasm for the subject

Bristol City Council

Cassandra for Developers

Very good explanations with in depth examples

Rui Magalhaes - Farfetch Portugal - Unipessoal, Lda

Beyond the relational database: neo4j

Flexibility to blend in with Autodata related details to get more of a real world scenario as we went on.

Autodata Ltd

SQL Fundamentals

The trainer was very good and modified the course to meet the knowledge I already had.

I liked it was 1 to 1

Charlotte Rundle - Knapp Systemintegration GmbH

PostgreSQL Administration and Development

Very in depth knowledge on the subject matter. No "I'll have to look into that and get back to you, just knew it all"

David Marshall - TIO Networks CORP

Advanced SQL, Stored Procedures and Triggers for Microsoft SQL Server

Attention to detail, knowledge and enthusiasm for the subject

Bristol City Council

Advanced SQL, Stored Procedures and Triggers for Microsoft SQL Server

Attention to detail, knowledge and enthusiasm for the subject

Bristol City Council

MongoDB for Administrators

The explanations

Lowe's

MongoDB for Administrators

tailored to cover our organisations questions.

Robin Bell - Egress Software Technologies

SQL Programming

The trainer is a great trainer and has very professional tone. I would definitely like to attend a SQL Advanced course in the near future which is hosted by the same trainer.

 

Mitul. P. Parmar - Cancer Research UK

Beyond the relational database: neo4j

The trainer did bring some good insight and ways to approach developing a graph database. He used examples from the slides presented but also drew on his own experience which was good.

Autodata Ltd

SQL Fundamentals

The trainer was extremely knowledgeable and ensured that I properly understand at every steps. I am very happy with the course.

 

Takuya Yorita - Mizuho Corporate Bank Ltd

Cassandra for Developers

All technical explanation and theoretical introduction

André Santos - Farfetch Portugal - Unipessoal, Lda

Cassandra for Developers

I already using and have a application in production with cassandra so mostly of the topics i already know but the data modeling and advanced topics are a lot interesting.

Tiago Costa - Farfetch Portugal - Unipessoal, Lda

Data Analysis with Hive/HiveQL

good overview, good balance between theory and exercises

Proximus

MongoDB for Administrators

The clear depth of knowledge the trainer had, which really shone when combined with his evident enthusiasm for the subject.

Joseph Brailsford - Egress Software Technologies

SQL Programming

Great teacher with in depth knowledge and real life, relevant examples. Engaging and always ensures a section is understood before moving on to next.

 

Sade Okiji

MongoDB for Administrators

The structure and pace of the class was great.

David Lacy - Availity

SQL Fundamentals

Nice atmosphere, worked examples, lots of info to take away.

Simon Lingard - Avon Somerset & Wiltshire Cancer Services (ASWCS)

数据库大纲

代码 名字 时长 概览
cpd200 CPD200: Developing Solutions on Google Cloud Platform 24小时 This 3 day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. This class is intended for experienced application developers who want to learn how to develop solutions using Google Cloud Platform to create highly scalable backends for both web and mobile applications. At the end of this one­day course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behaviour of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers  Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources  
accumulo Apache Accumulo: Building highly scalable big data applications 21小时 Apache Accumulo is a sorted, distributed key/value store that provides robust, scalable data storage and retrieval. It is based on the design of Google's BigTable and is powered by Apache Hadoop, Apache Zookeeper, and Apache Thrift.   This courses covers the working principles behind Accumulo and walks participants through the development of a sample application on Apache Accumulo. Audience Application developers Software engineers Technical consultants Format of the course Part lecture, part discussion, hands-on development and implementation, occasional tests to gauge understanding
PentahoDI Pentaho Data Integration Fundamentals 21小时 Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations. In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle, maximizing the value of data to the organization. By the end of this training, participants will be able to: Create, preview, and run basic data transformations containing steps and hops Configure and secure the Pentaho Enterprise Repository Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format. Provide results to third-part applications for further processing Audience Data Analyst ETL developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
matlabpredanalytics Matlab:用于预测性分析(Predictive Analytics) 21小时 预测性分析是使用数据分析来预测未来的过程。此过程使用数据以及数据挖掘、统计和机器学习技术创建可用来预测未来事件的预测模型。 在这一由讲师引导的现场培训中,参与者将学习如何使用Matlab建立预测模型,并将其应用于大样本数据集,以根据数据预测未来事件。 在培训结束后,参与者将能够: 创建预测模型来分析历史和交易数据中的规律 使用预测建模来识别风险和机会 建立捕捉重要趋势的数学模型 使用来自设备和业务系统的数据来减少浪费、节省时间或降低成本 受众 开发人员 工程师 领域专家 课程形式 部分讲座、部分讨论、练习和大量实操
hivehiveql Data Analysis with Hive/HiveQL 7小时 This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive
druid Druid: Build a fast, real-time data analysis system 21小时 Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo. In this course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment. Audience     Application developers     Software engineers     Technical consultants     DevOps professionals     Architecture engineers Format of the course     Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
hdp Hortonworks Data Platform (HDP) for administrators 21小时 Hortonworks Data Platform is an open-source Apache Hadoop support platform that provides a stable foundation for developing big data solutions on the Apache Hadoop ecosystem. This instructor-led live training introduces Hortonworks and walks participants through the deployment of Spark + Hadoop solution. By the end of this training, participants will be able to: Use Hortonworks to reliably run Hadoop at a large scale Unify Hadoop's security, governance, and operations capabilities with Spark's agile analytic workflows. Use Hortonworks to investigate, validate, certify and support each of the components in a Spark project Process different types of data, including structured, unstructured, in-motion, and at-rest. Audience Hadoop administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
mariadbadv Advanced MariaDB for High Availability and Performance 28小时 MariaDB is a fork of MySQL and one of the most popular database servers. In this instructor-led, live training, participants will learn how to install, configure and manage MariaDB for high availability and performance. Other topics include backup and recovery, security and clustering. Audience Developers Database administrators System administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
sqlmysql SQL in MySQL 14小时 How to build a query? What opportunities has the SQL in a MySQL database? What is a relational database? What is the structure and SQL commands?
Imp Impala for Business Intelligence 21小时 Cloudera Impala is an open source massively parallel processing (MPP) SQL query engine for Apache Hadoop clusters. Impala enables users to issue low-latency SQL queries to data stored in Hadoop Distributed File System and Apache Hbase without requiring data movement or transformation. Audience This course is aimed at analysts and data scientists performing analysis on data stored in Hadoop via Business Intelligence or SQL tools. After this course delegates will be able to Extract meaningful information from Hadoop clusters with Impala. Write specific programs to facilitate Business Intelligence in Impala SQL Dialect. Troubleshoot Impala.
nlpwithr NLP: Natural Language Processing with R 21小时 It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data. This course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements. By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance. Audience     Linguists and programmers Format of the course     Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
zeppelin Zeppelin for interactive data analytics 14小时 Apache Zeppelin is a web-based notebook for capturing, exploring, visualizing and sharing Hadoop and Spark based data. This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment. By the end of this training, participants will be able to: Install and configure Zeppelin Develop, organize, execute and share data in a browser-based interface Visualize results without referring to the command line or cluster details Execute and collaborate on long workflows Work with any of a number of plug-in language/data-processing-backends, such as Scala ( with Apache Spark ), Python ( with Apache Spark ), Spark SQL, JDBC, Markdown and Shell. Integrate Zeppelin with Spark, Flink and Map Reduce Secure multi-user instances of Zeppelin with Apache Shiro Audience Data engineers Data analysts Data scientists Software developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
powerbiforbiandanalytics Power BI for Business Analysts 21小时 Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices. In this instructor-led, live training, participants will learn how to use Microsoft Power Bi to analyze and visualize data using a series of sample data sets. By the end of this training, participants will be able to: Create visually compelling dashboards that provide valuable insights into data Obtain and integrate data from multiple data sources Build and share visualizations with team members Adjust data with Power BI Desktop Audience Business managers Business analystss Data analysts Business Intelligence (BI) and Data Warehouse (DW) teams Report developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice  
mysqladm MySQL Database Administration 14小时 MySQL Administration training course is for anyone who wants to administrate the MySQL database server. It is a comprehensive course covering all administrator duties. The course explains how MySQL Database works, what tools are available, how we can use them, how we can secure the MySQL Database Server and configure it. During the training course you will learn how to manage user accounts and how the MySQL Access Privilege System works. You also will learn how to maintain your database, backup and recover your databases and perform crash recovery.
osqlint Oracle SQL Intermediate 14小时 Audience All who want to improve their basic skills in Oracle SQL and also systematize already gained knowledge. Format of the course 25% lectures, 75% labs
seqdb SequoiaDB for Developers 14小时 SequoiaDB is a document-oriented NewSQL database that supports JSON transaction processing and SQL query. SequoiaDB can directly interface with applications to provide high performance and horizontally scalable data storage and processing functions, or serve as the frontend to Hadoop and Spark for both real-time query and data analysis. Audience This course assumes prior knowledge of SQL and is targeted at engineers seeking to deploy and integrate SequoiaDB instances. After completing this course, delegates will: understand SequoiaDB’s structure and deployment mechanisms be able to carry out installation / production environment / architecture tasks and configuration be able to assess code quality, perform debugging, monitoring be able to implement advanced production like integration, migration and development
voldemort Voldemort: Setting up a key-value distributed data store 14小时 Voldemort is an open-source distributed data store that is designed as a key-value store.  It is used at LinkedIn by numerous critical services powering a large portion of the site. This course will introduce the architecture and capabilities of Voldomort and walk participants through the setup and application of a key-value distributed data store. Audience     Software developers     System administrators     DevOps engineers Format of the course     Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
meanangular4 Angular 4:使用MEAN堆栈构建Web应用程序 35小时 Angular 4(以前的版本被称为Angular.js、AngularJS、AngularJS 1、Angular 1、Angular 2等)是一个基于JavaScript的前端Web应用程序框架,用于开发单页面应用程序。与之前的版本相比,Angular 4具有更好的性能、更多的API可用,并且改进了在移动设备上的设计和响应性。 MEAN堆栈是一个完整的JavaScript解决方案,用于使用MongoDB、Express、Angular和Node.js快速、轻松地编写可伸缩、可靠及可维护的Web应用程序。 在这一由讲师引导的现场培训中,参与者将学习在逐步创建和部署示例Web应用程序时如何使用MEAN堆栈,特别是如何使用Angular 4。 在本次培训结束时,参与者将学会: 创建、构建、调试、部署基于MEAN的Angular 4应用程序 单元测试他们的Angular 4应用程序 使用TypeScript编写Angular代码 受众 开发人员 课程形式 部分讲座、部分讨论、练习和大量实操
mlbankingr 机器学习用于银行业务(使用R) 28小时 在这一由讲师引导的现场培训中,参与者将学习如何应用机器学习技术和工具来解决银行业的现实问题。R将被用作编程语言。 参与者首先学习关键原则,然后通过建立自己的机器学习模型并使用模型来完成一些现场项目以将所学知识运用到实践中。 受众 开发人员 数据科学家 具有技术背景的银行专业人士 课程形式 部分讲座、部分讨论、练习和大量实操
sqlfun SQL Fundamentals 14小时 This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn: how to write SQL queries what relational databases are and how we can use them what are relations and how to create them the structure of data differences between SQL dialects (Oracle, T-SQL, ANSI) practical skills for writing queries This SQL course deals with generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL any other relational databases.
hadoopmapr Hadoop Administration on MapR 28小时 Audience: This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand.
couch Apache CouchDB for Developers 14小时 Adobe CouchDB is a scalable, fault-tolerant, and schema-free document-oriented database written in Erlang. It's used in large and small organizations for a variety of applications where a traditional SQL database isn't the best solution for the problem at hand. Audience This course is directed at engineers and developers seeking to deploy and develop with a CouchDB instance.
meteor Meteor: Use JavaScript to develop cross-platform mobile applications 14小时 Meteor (aka MeteorJS) is an open-source JavaScript web framework written in Node.js. It integrates with MongoDB and enables rapid prototyping of Android and iOS applications. This course introduces the fundamentals of Meteor and walks participants through the creation of a real-time web applications for both desktop and mobile platforms. Audience     Front-end developers     Anyone interested in learning Meteor Format of the course     Overview of Meteor's features and capabilities along with step-by-step development of a mobile application for iOS and Android.
ApacheIgnite Apache Ignite: Improve speed, scale and availability with in-memory computing 14小时 Apache Ignite is an in-memory computing platform that sits between the application and data layer to improve speed, scale and availability. In this instructor-led, live training, participants will learn the principles behind persistent and pure in-memory storage as they step through the creation of a sample in-memory computing project. By the end of this training, participants will be able to: Use Ignite for in-memory, on-disk persistence as well as a purely distributed in-memory database Achieve persistence without syncing data back to a relational database Use Ignite to carry out SQL and distributed joins Improve performance by moving data closer to the CPU, using RAM as a storage Spread data sets across a cluster to achieve horizontal scalability Integrate Ignite with RDBMS, NoSQL, Hadoop and machine learning processors Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
mlbankingpython_ 机器学习用于银行业务(使用Python) 21小时 在这一由讲师引导的现场培训中,参与者将学习如何应用机器学习技术和工具来解决银行业的现实问题。Python将被用作编程语言。 参与者首先学习关键原则,然后通过建立自己的机器学习模型并使用模型来完成一些现场项目以将所学知识运用到实践中。 受众 开发人员 数据科学家 课程形式 部分讲座、部分讨论、练习和大量实操
sqlmysqladv SQL Advanced in MySQL 7小时 This course has been created for people already acquainted with SQL. The course introduces you into secrets common to all SQL databases as well as MySQL specific syntax, functions and features.
mariadbgc MariaDB Galera Cluster Administration 21小时 This course is intended for database administrators. The course presents options for High-Availability solutions using Galera Cluster. You will learn the basics of Galera technology, as well as more advanced topics and practical knowledge related to configuring, optimizing and administering a Galera Cluster.
ddavsvbsqls Developing Desktop Applications with Visual Studio 2012, VB.NET and SQL Server 2012 21小时 This course is divided into 3 main sections and is made up of a mixture of presentations and practical exercises. VB.NET Language in Visual Studio 2012 VB.NET Object Orientation VB.NET and Sql Server 2012
BigData_ 数据分析和大数据的实用介绍 35小时 参与者完成此次培训后,将会对大数据及其相关技术、方法、工具有一个实际和真实的理解。 参与者将有机会通过动手练习将这些知识付诸实践。小组互动和讲师反馈是课堂的重要组成部分。 本课程首先介绍大数据的基本概念,然后讲解用于执行数据分析的编程语言和方法,最后我们会讨论可启用大数据存储、分布式处理及可扩展性的工具和基础架构。 受众 开发人员/程序员 IT顾问 课程形式 部分讲座、部分讨论、实操、偶尔测评进度
datameer Datameer for Data Analysts 14小时 Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion. In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources. By the end of this training, participants will be able to: Create, curate, and interactively explore an enterprise data lake Access business intelligence data warehouses, transactional databases and other analytic stores Use a spreadsheet user-interface to design end-to-end data processing pipelines Access pre-built functions to explore complex data relationships Use drag-and-drop wizards to visualize data and create dashboards Use tables, charts, graphs, and maps to analyze query results Audience Data analysts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
graphcomputing Introduction to Graph Computing 28小时 A large number of real world problems can be described in terms of graphs. For example, the Web graph, the social network graph, the train network graph and the language graph. These graphs tend to be extremely large; processing them requires a specialized set of tools and mindset referred to as graph computing. In this instructor-led, live training, participants will learn about the various technology offerings and implementations for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using graph computing approaches. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments. By the end of this training, participants will be able to: Understand how graph data is persisted and traversed Select the best framework for a given task (from graph databases to batch processing frameworks) Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel View real-world big data problems in terms of graphs, processes and traversals Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
advsqlpt Advanced SQL, Stored Procedures and Triggers for Microsoft SQL Server 14小时 The aim of this course is to provide a clear understanding of the advanced use of (SQL) for Microsoft SQL Server and the advanced use of Transact-SQL. For more in depth coverage of the topics this course can be run as a three day course.
cassdbfun Fundamentals of Cassandra DB 21小时 This course introduces the basics of Cassandra 2.0 including its installation & configuration, internal architecture, tools, Cassandra Query Language, and administration. Audience Administrators and developers seeking to use Cassandra. This course serves as a foundation and prerequisite for other advanced Cassandra courses.  
aerosdev Aerospike for Developers 14小时 This course covers everything a database developer needs to know to successfully develop applications using Aerospike.
elasticsearchfordevs ElasticSearch for Developers: Building Search and Analytics Solutions with Elasticsearch 14小时 Elasticsearch is an open-source, distributed search engine. It is commonly used together with Logstash (data-collection and log-parsing engine) and Kibana (analytics and visualization platform) to make up the "ELK stack". This training is aimed at software developers who wish to build search and analytics solutions using Elasticsearch. The training starts with a discussion of the ElastickSearch architecture, including its distributed model and search API. This is followed by an explanation of ElasticSearch's functionality and how to best integrate it into an existing application. Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress. Audience Software developers Format of the course Heavy emphasis on live practice. Most of the concepts are learned through samples, exercises and hands-on development.
deckgl deck.gl: Visualizing Large-scale Geospatial Data 14小时 deck.gl is an open-source, WebGL-powered library for exploring and visualizing data assets at scale. Created by Uber, it is especially useful for gaining insights from geospatial data sources, such as data on maps. This instructor-led, live training introduces the concepts and functionality behind deck.gl and walks participants through the set up of a demonstration project. By the end of this training, participants will be able to: Take data from very large collections and turn it into compelling visual representations Visualize data collected from transportation and journey-related use cases, such as pick-up and drop-off experiences, network traffic, etc. Apply layering techniques to geospatial data to depict changes in data over time Integrate deck.gl with React (for Reactive programming) and Mapbox GL (for visualizations on Mapbox based maps). Understand and explore other use cases for deck.gl, including visualizing points collected from a 3D indoor scan, visualizing machine learning models in order to optimize their algorithms, etc. Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
pythonfinance Python用于财务工作 35小时 Python是一门在金融行业拥有巨大声望的编程语言。最大的投资银行和对冲基金正在使用它来构建包括核心交易项目及风险管理系统在内的广泛的金融应用。 在这一由讲师引导的现场培训中,参与者将学习如何使用Python开发实际的应用程序以解决一些特定的财务相关的问题。 在本次培训结束后,参与者将能够: 了解Python编程语言的基础知识 下载、安装和维护用Python创建财务应用程序的最佳开发工具 选择和利用最合适的Python软件包和编程技术来组织、可视化和分析从各种来源(CSV、Excel、数据库、网站等)得来的财务数据。 构建解决资产配置、风险分析、投资绩效等相关问题的应用程序 故障排除、集成部署和优化他们的应用程序 受众 开发人员 分析师 宽客 课程形式 部分讲座、部分讨论、练习和大量实操 注意事项 该培训旨在为金融专业人士所面对的一些原则问题提供解决方案。但是,如果您有一个特定的主题、工具或技术想要附加或详细说明,请联系我们以作安排。
sqlsqlsvr SQL in SQL Server 14小时 This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn: how to write SQL queries what relational databases are and how we can use them what are relations and how to create them the structure of data differences between T-SQL and other dialects practical skills for writing queries This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course.
transsqladv Transact SQL Advanced 7小时 Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following: Use queries to return complex result sets Manage database objects to aid query performance Tune queries to perform more efficiently This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed.
redisadev Redis for Developers and System Administrators 14小时 Redis is an open source (BSD licensed), in-memory data structure store, used as database, cache and message broker.
teraintro Teradata Fundamentals 21小时 Teradata is one of the popular Relational Database Management System. It is mainly suitable for building large scale data warehousing applications. Teradata achieves this by the concept of parallelism.  This course introduces the delegates to Teradata
embeddingprojector Embedding Projector: Visualizing your Training Data 14小时 Embedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow. This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project. By the end of this training, participants will be able to: Explore how data is being interpreted by machine learning models Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals. Explore the properties of a specific embedding to understand the behavior of a model Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
rforfinance R Programming for Finance 28小时 R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to: Understand the fundamentals of the R programming language Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.) Build applications that solve problems related to asset allocation, risk analysis, investment performance and more Troubleshoot, integrate deploy and optimize an R application Audience Developers Analysts Quants Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Note This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
oplsqlfun ORACLE PL/SQL Fundamentals 21小时 This 3 day course gives an introduction to ORACLE PL/SQL, an application development environment that enables the writing of stored procedures, functions and triggers using both SQL and PL/SQL commands. The course takes the format of a workshop, with a mix of lecture, working examples and practical exercises. Although the content may be customised, at least 2 days are needed to cover the core elements. Full course notes are provided along with sample database files, example SQL files and free software tools for use in accessing an ORACLE database.
transsqlbas Transact SQL Basic 14小时 Delegates will gain an understanding of the basic principles of Structured Query Language as well as being able to do each of the following: Construct queries to extract and filter data from a SQL Server database Create summarised results Change, derive and format data to suit the required output Change data and maintain database components and definitions This course is for anybody who needs information from a Microsoft SQL Server database. It is suitable for either system developers or people from other areas who need to use SQL to extract and analyse data.
cassadmin Cassandra Administration 14小时 This course will introduce Cassandra –  a popular NoSQL database.  It will cover Cassandra principles, architecture and data model.   Students will learn data modeling  in CQL (Cassandra Query Language) in hands-on, interactive labs.  This session also discusses Cassandra internals and some admin topics.
ApHadm1 Apache Hadoop: Manipulation and Transformation of Data Performance 21小时 This course is intended for developers, architects, data scientists or any profile that requires access to data either intensively or on a regular basis. The major focus of the course is data manipulation and transformation. Among the tools in the Hadoop ecosystem this course includes the use of Pig and Hive both of which are heavily used for data transformation and manipulation. This training also addresses performance metrics and performance optimisation. The course is entirely hands on and is punctuated by presentations of the theoretical aspects.
kdbplusandq kdb+ and q: Analyze time series data 21小时 kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc. In this instructor-led, live training, participants will learn how to create a time series data application using kdb+ and q. By the end of this training, participants will be able to: Understand the difference between a row-oriented database and a column-oriented database Select data, write scripts and create functions to carry out advanced analytics Analyze time series data such as stock and commodity exchange data Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring Audience Developers Database engineers Data scientists Data analysts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
orientdb OrientDB for Developers 14小时 OrientDB is a NoSQL Multi-Model Database that works with Graph, Document, Key-Value, GeoSpatial, and Reactive models. Its flexibility allows users to manage different kinds of data under one centralized database. In this instructor-led, live training, participants will learn how to start using OrientDB and utilize its flexibility to manage data. By the end of this training, participants will be able to: Install OrientDB Learn how to create and manage a database with OrientDB Explore the different features and functionalities of OrientDB Learn how to work with different APIs on OrientDB Deploy OrientDB using Distributed Architecture Audience Software engineers and technicians Technical people in all industries IT people Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
osqlfun ORACLE SQL Fundamentals 21小时 This 3 day course gives an introduction to SQL Developer, SQL*Plus and to SQL, the Structured Query Language used to access a Relational Database and includes the new features of the latest version of ORACLE. The principles learnt may also be applied to databases as diverse as Microsoft SQL Server, MySQL, Access, Informix and DB2. The course takes the format of a workshop, with a mix of lecture, working examples and practical exercises. Although the content may be customised, at least 2 days are needed to cover the core elements. Full course notes are provided along with sample database files, example SQL files and free software tools for use in accessing an ORACLE database.
dnswebmaildb Top 4 Linux/Unix Servers - DNS,Web,Mail and Database 28小时 Created Linux/Unix Administrators and developers who are interested with getting involved in LInux/Unix Servers Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Managing Linux Servers and to show it is very easy to understand Linux/Unix servers. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities. You'll learn how to deploy and manage Top 4 Linux Servers that provide highly useful network services to a mission-critical enterprise environment. It can be deliver on any distribution (Fedora, CentOS are commonly used)
dbalogicmigration Database Logic Migration 7小时 When migrating databases there are common ways of dealing with logic put either in SQL queries specific to the database or database procedural language (e.g. PL/SQL). This course covers techniques and strategies of making migration smooth. Also it deals with possible performance and scalability problems. This course is usually deliver with following databases: DB2, Oracle, MySQL, MariaDB, SQL Server, etc... but can be tailored to a specific migration project.
68962 MySQL Administration 32小时 Audience: Any IT professionals who aspire to become DBAs or database support professionals on MySql Database on linx/windows platforms. Format: 40% theoretical/lectures, 60%Practical/hands on lab
riak Riak: Build Applications with High Data Accuracy 14小时 Riak is an Erlang based open-source document database, similar to CouchDB. It is created and maintained by Basho. In this instructor-led, live training, participants will learn how to build, run and operate a Riak based web application. By the end of this training, participants will be able to: Extend the number of hardware nodes and partition data across multiple servers Use bucket/key/values to organize and retrieve documents Use full-text search like query syntax Understand other Riak related technologies, such as Riak KV and Riak TS Test, secure, optimize and deploy a sample web application Audience Developers Database engineers Operations staff Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
webdevonboarding Web Developer On-boarding Training 420小时 In this instructor-led, live training, participants will learn the foundations of web development as they step through the creation and deployment of a sample application. By the end of this training, participants will be able to: Design and implement new user facing features Optimize web applications to maximize speed and scale Write client-side code for web-based applications Create fast, easy to use, high volume production applications and develop prototypes quickly Audience Beginner web developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
mariadbadmin MariaDB Database Administration 14小时 MariaDB Administration training course is for anyone who wants to administrate the MariaDB database server. It is a comprehensive course covering all administrator duties. The course explains how MariaDB Database works, what tools are available, how we can use them, how we can secure the MariaDB Database Server and configure it. During the training course you will learn how to manage user accounts and how the MariaDB Access Privilege System works. You also will learn how to maintain your database, backup and recover your databases and perform crash recovery.
mariadbdev MariaDB 10 Developer Course 28小时 Created DBAs, Administrators and developers who are interested with getting involved in MariaDB 10 based on Linux system. Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Database Concept and SQL and to show it is very easy to understand how to use SQL and manage MariaDB on Linux system. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities After this course, you can apply the knowledge, which you obtained through this course, to the other database systems such as MySQL, Oracle Database, MSSQL Server and PostgreSQL as well. It can be deliver on any distribution (Ubuntu, CentOS are commonly used)
datapyth Data Analysis in Python using Pandas and Numpy 14小时 Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
meanangular2 Angular 2: Building Web Apps using the MEAN stack 35小时 MEAN stack is a full-stack JavaScript solution that helps you write and deploy scalable, robust, and maintainable web applications quickly and easily using MongoDB, Express, Angular, and Node.js. By the end of this hands-on intensive training course, the students will be able to: Store the data in NoSQL, document-oriented MongoDB database that brings performance and scalability. Use Node.js, the server-side platform built on Google V8’s runtime for building fast, scalable network applications. Use Express, a simple yet powerful web application development HTTP server framework built on top of Node.js. Use Angular 2 framework that offers declarative, two-way data binding for web applications. Take advantage of the ‘full-stack JavaScript’ paradigm i.e. store documents in JSON-like format in MongoDB, author JSON queries in Node.js/Express.js, and forward these JSON documents back to an Angular-based frontend. Get acquainted with the latest web application development trends in the IT industry. Notes: Angular is available in different versions, for example: AngularJS ( a.k.a. Angular.js, AngularJS 1, and Angular 1) Angular 2 Angular 4 etc. This training covers Angular 2. For all other components (Node.js, Express, MongDB) we cover the latest stable version. If you wish to customize the versions taught in this training, please contact us to arrange.  
hypertable Hypertable: Deploy a BigTable like database 14小时 Hypertable is an open-source software database management system based on the design of Google's Bigtable. In this instructor-led, live training, participants will learn how to set up and manage a Hypertable database system. By the end of this training, participants will be able to: Install, configure and upgrade a Hypertable instance Set up and administer a Hypertable cluster Monitor and optimize the performance of the database Design a Hypertable schema Work with Hypertable's API Troubleshoot operational issues Audience Developers Operations engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Part lecture, part discussion, exercises and heavy hands-on practice
bigdatabicriminal Big Data Business Intelligence for Criminal Intelligence Analysis 35小时 Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results. By the end of this training, participants will be able to: Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation Implement industrial big data storage and processing solutions for data analysis Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation Audience Law Enforcement specialists with a technical background Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
mongodbadmin MongoDB for Administrators 14小时 This course covers everything a database administrator needs to know to successfully deploy and maintain MongoDB databases. Diagnosing performance issues, importing and exporting data, and establishing the proper backup and restore routines, overview of the MongoDB CRUD API, the command shell, and the drivers. are also covered. The audience of this course include people who want to: Understand MongoDB from a developer's perspective, including its command shell, query API, and driver tools. Deploy MongoDB in all its configurations - as a single server, with master/slave replication, as a replica set, and as a sharded cluster. Evaluate applications and choose hardware appropriately. Monitor MongoDB instances and integrate with standard monitoring software (Munin, Nagios, etc.) Plan for backups and manage large data imports and exports. Troubleshoot the most common developer issues and failure scenarios. Each delegate will need to perform a series of practical exercises.
mean1 Building Web Apps using the MEAN stack 35小时 Course Objective: MEAN stack is a full-stack JavaScript solution that helps you write scalable, robust, and maintainable web applications quickly and easily using MongoDB, express, AngularJS, and Node.js. By the end of this hands-on intensive training course, the students will be able to: Store the data in NoSQL, document-oriented MongoDB database that brings performance and scalability. Use Node.js, the server-side platform built on Google V8’s runtime for building fast, scalable network applications. Use Express, a simple yet powerful web application development HTTP server framework built on top of Node.js. Use AngularJS framework that offers declarative, two-way data binding for web applications. Take advantage of the ‘full-stack JavaScript’ paradigm i.e. store documents in JSON-like format in MongoDB, author JSON queries in Node.js/Express.js, and forward these JSON documents back to an Angular-based frontend. Get acquainted with the latest web application development trends in the IT industry.
DM7 Getting started with DM7 (达梦7) 21小时 Audience Beginner or intermediate database developers Beginner or intermediate database administrators Programmers Format of the course Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development
storm Apache Storm 28小时 Apache Storm is a distributed, real-time computation engine used for enabling real-time business intelligence. It does so by enabling applications to reliably process unbounded streams of data (a.k.a. stream processing). "Storm is for real-time processing what Hadoop is for batch processing!" In this instructor-led live training, participants will learn how to install and configure Apache Storm, then develop and deploy an Apache Storm application for processing big data in real-time. Some of the topics included in this training include: Apache Storm in the context of Hadoop Working with unbounded data Continuous computation Real-time analytics Distributed RPC and ETL processing Request this course now! Audience Software and ETL developers Mainframe professionals Data scientists Big data analysts Hadoop professionals Format of the course     Part lecture, part discussion, exercises and heavy hands-on practice
globalsight Globalsight: Automate the localization process 7小时 Globalight is an open-source, Java based application server for automating, streamlining, and managing the localization process. In this instructor-led, live training, participants will learn about Globalsight's architecture and functionality as they install, configure and deploy a demonstration server . By the end of this training, participants will be able to: Undertand the benefits of Globalsight relative to other Translation Management Systems Install Globalsight server and related components Set up Globalsight to work behind a reverse proxy Build and deploy Globalsight to a production environment Troubleshoot and optimize Globalsight Use Globalsight's APIs to integrate it with third party applications, including JBPM, etc. Audience System administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
mlfinancepython Machine Learning for Finance (with Python) 21小时 Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry. Python will be used as the programming language. Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects. By the end of this training, participants will be able to: Understand the fundamental concepts in machine learning Learn the applications and uses of machine learning in finance Develop their own algorithmic trading strategy using machine learning with Python Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
mongodbdev MongoDB for Developers 14小时 This course covers everything a database developer needs to know to successfully develop applications using MongoDB.
trafodionadm1 Administering Trafodion 14小时
neo4j Beyond the relational database: neo4j 21小时 Relational, table-based databases such as Oracle and MySQL have long been the standard for organizing and storing data. However, the growing size and fluidity of data have made it difficult for these traditional systems to efficiently execute highly complex queries on the data. Imagine replacing rows-and-columns-based data storage with object-based data storage, whereby entities (e.g., a person) could be stored as data nodes, then easily queried on the basis of their vast, multi-linear relationship with other nodes. And imagine querying these connections and their associated objects and properties using a compact syntax, up to 20 times lighter than SQL. This is what graph databases, such as neo4j offer. In this hands-on course, we will set up a live project and put into practice the skills to model, manage and access your data. We contrast and compare graph databases with SQL-based databases as well as other NoSQL databases and clarify when and where it makes sense to implement each within your infrastructure. Audience Database administrators (DBAs) Data analysts Developers System Administrators DevOps engineers Business Analysts CTOs CIOs Format of the course Heavy emphasis on hands-on practice. Most of the concepts are learned through samples, exercises and hands-on development.
kylin Apache Kylin: From classic OLAP to real-time data warehouse 14小时 Apache Kylin is an extreme, distributed analytics engine for big data. In this instructor-led live training, participants will learn how to use Apache Kylin to set up a real-time data warehouse. By the end of this training, participants will be able to: Consume real-time streaming data using Kylin Utilize Apache Kylin's powerful features, including snowflake schema support, a rich SQL interface, spark cubing and subsecond query latency Note We use the latest version of Kylin (as of this writing, Apache Kylin v2.0) Audience Big data engineers Big Data analysts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
flockdb Flockdb: A Simple Graph Database for Social Media 7小时 FlockDB is an open source distributed, fault-tolerant graph database for managing wide but shallow network graphs. It was initially used by Twitter to store relationships among users. In this instructor-led, live training, participants will learn how to setup and use a FlockDB database to help answer social media questions such as who follows whom, who blocks whom, etc. By the end of this training, participants will be able to: Install and configure FlockDB Understand the unique features of FlockDB, relative to other graph databases such Neo4j Use FlockDB to maintain a large graph dataset Use FlockDB together with MySQL to provide provide distributed storage capabilities Query, create and update extremely fast graph edges Scale FlockDB horizontally for use in on-line, low-latency, high throughput web environments Audience Developers Database engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
pgsqladm PostgreSQL Administration and Development 28小时 This course handles the administration and performance tuning of PostgreSQL databases. Attendees will learn the use of specialised PostgreSQL (AKA Postgres) modules such as replication, connection pooling and full text searching.
bigdatastore Big Data Storage Solution - NoSQL 14小时 When traditional storage technologies don't handle the amount of data you need to store there are hundereds of alternatives. This course try to guide the participants what are alternatives for storing and analyzing Big Data and what are theirs pros and cons. This course is mostly focused on discussion and presentation of solutions, though hands-on exercises are available on demand.
kdd Knowledge Discover in Databases (KDD) 21小时 Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing. In this course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes. Audience     Data analysts or anyone interested in learning how to interpret data to solve problems Format of the course     After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
matlabdsandreporting MATLAB基础、数据科学和报告生成 126小时 本次培训的第一部分介绍了MATLAB的基本原理及其作为语言和平台的功能。本次讨论包括MATLAB语法、数组和矩阵、数据可视化、脚本开发及面向对象原理的介绍。 在第二部分中,我们演示如何使用MATLAB进行数据挖掘、机器学习和预测性分析。为了给参与者一个关于MATLAB方法和功能的清晰和实用的观点,我们将使用MATLAB和使用电子表格、C、C ++、Visual Basic等其他工具进行比较。 在培训的第三部分,参与者学习如何通过自动化数据处理和报告生成来简化工作。 在整个课程中,参与者将在实验室环境里把通过动手练习学到的想法付诸实践。培训结束后,参与者将对MATLAB的功能有一个全面的掌握,并将能够用它来解决实际的数据科学问题,并通过自动化来简化他们的工作。 整个课程中将进行评估以衡量进度。 课程形式 课程包含理论和实践练习,包括案例讨论、样本代码检查和实操。 注意 练习课程将根据预先安排的样本数据报告模板进行。如果您有特殊要求,请联系我们以作安排。
fsharpfordatascience F# for Data Science 21小时 Data science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration. In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems. By the end of this training, participants will be able to: Use F#'s integrated data science packages Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python Use the Deedle package to solve time series problems Carry out advanced analysis with minimal lines of production-quality code Understand how functional programming is a natural fit for scientific and big data computations Access and visualize data with F# Apply F# for machine learning Explore solutions for problems in domains such as business intelligence and social gaming Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
416 Introduction to Firebird 14小时
cassdev Cassandra for Developers 21小时 This course will introduce Cassandra –  a popular NoSQL database.  It will cover Cassandra principles, architecture and data model.   Students will learn data modeling  in CQL (Cassandra Query Language) in hands-on, interactive labs.  This session also discusses Cassandra internals and some admin topics. Audience : Developers
scylladb Scylla database 21小时 Scylla is an open-source distributed NoSQL data store. It is compatible with Apache Cassandra but performs at significantly higher throughputs and lower latencies. In this course, participants will learn about Scylla's features and architecture while obtaining practical experience with setting up, administering, monitoring, and troubleshooting Scylla.   Audience     Database administrators     Developers     System Engineers Format of the course     The course is interactive and includes discussions of the principles and approaches for deploying and managing Scylla distributed databases and clusters. The course includes a heavy component of hands-on exercises and practice.
TalendDI Talend Open Studio for Data Integration 28小时 Talend Open Studio for Data Integration is an open-source data integration product used to combine, convert and update data in various locations across a business. In this instructor-led, live training, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.   By the end of this training, participants will be able to Explain the concepts behind ETL (Extract, Transform, Load) and propagation Define ETL methods and ETL tools to connect with Hadoop Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements Audience Business intelligence professionals Project managers Database professionals SQL Developers ETL Developers Solution architects Data architects Data warehousing professionals System administrators and integrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
tidyverse Introduction to Data Visualization with Tidyverse and R 7小时 The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble. In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse. By the end of this training, participants will be able to: Perform data analysis and create appealing visualizations Draw useful conclusions from various datasets of sample data Filter, sort and summarize data to answer exploratory questions Turn processed data into informative line plots, bar plots, histograms Import and filter data from diverse data sources, including Excel, CSV, and SPSS files Audience Beginners to the R language Beginners to data analysis and data visualization Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
gfsjeeint Administering GlassFish Server with Java EE applications introduction 21小时 GlassFish is an open-source application server. This three-day course provides an introduction to administering GlassFish Server with Java EE applications.
hbasedev HBase for Developers 21小时 This course introduces HBase – a NoSQL store on top of Hadoop.  The course is intended for developers who will be using HBase to develop applications,  and administrators who will manage HBase clusters. We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course  is very  hands-on with lots of lab exercises. Duration : 3 days Audience : Developers  & Administrators
berkeleydb Berkeley DB for developers 21小时 Berkeley DB (BDB) is a software library intended to provide a high-performance embedded database for key/value data. Berkeley DB is written in C with API bindings for C++, C#, Java, Perl, PHP, Python, Ruby, Smalltalk, Tcl, and many other programming languages. Berkeley DB is not a relational database.[1] This course will introduce the architecture and capabilities of Berkeley DB and walk participants through the development of their own sample application using Berkeley DB. Audience     Application developers     Software engineers     Technical consultants Format of the course     Part lecture, part discussion, hands-on development and implementation, tests to gauge understanding
pythonmultipurpose 高级Python 28小时 在这一由讲师引导的培训中,参与者将学习高级Python编程技术,包括如何将这种多功能语言应用于解决分布式应用、财务、数据分析和可视化、UI编程及维护脚本等领域的问题。 受众 开发人员 课程形式 部分讲座、部分讨论、练习和大量实操 注意事项 如果您想添加、移除或自定义本课程中的任一部分或主题,请联系我们以作安排。
datastorageoverview Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems 7小时 This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches.
osqlbgn Oracle SQL for beginners 21小时 Listeners This training is addressed for people starting to work with the SQL language in Oracle database The course answer for questions: How to build a query? What possibilities have SQL? What is a relational database? What is the structure and SQL commands
osqladv Oracle SQL Advanced 14小时 Listeners This course is designed for people who want to use the advanced features of SQL in Oracle The course answers the questions How to build advanced queries? How to create advanced reports?
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