Apache Kafka培训
Apache Kafka培训
客户评论
The trainer really knows Kafka very well, and has a lot of production experience in the matter.
Matej Puntra - OLAmobile
课程名称: Distributed Messaging with Apache Kafka
practical examples, trainer new what he is talking about
Rumos
课程名称: Distributed Messaging with Apache Kafka
practical advices (for kafka configuration and management)
OLAmobile
课程名称: Distributed Messaging with Apache Kafka
Detail explanations, well prepared document.
Allen Jeong - OLAmobile
课程名称: Distributed Messaging with Apache Kafka
Detail explanations, well prepared document.
Allen Jeong - OLAmobile
课程名称: Distributed Messaging with Apache Kafka
The knowledge of the Trainer
Christian Langer - PAYBACK GmbH
课程名称: Distributed Messaging with Apache Kafka
-> I found the programming example interesting
Rostislaw Krassow - PAYBACK GmbH
课程名称: Distributed Messaging with Apache Kafka
The exercises, and especially when they didn't work (obviously my fault but fault finding is part of the job).
Peter Hendriks - Amadeus Data Processing GmbH
课程名称: Distributed Messaging with Apache Kafka
Easy to follow.
Zach Henke - Verisign
课程名称: Distributed Messaging with Apache Kafka
Informative and had correct level of detail I believe.
Asif Akhtar - Verisign
课程名称: Distributed Messaging with Apache Kafka
Practical examples.
Jorge Creixell - Fyber GmbH
课程名称: Distributed Messaging with Apache Kafka
Interactivity.
Alan Daud - Fyber GmbH
课程名称: Distributed Messaging with Apache Kafka
A very professional good style which created an open and positive atmosphere among all participiants.
Heiko Michel - Lufthansa Systems GmbH & Co KG
课程名称: Distributed Messaging with Apache Kafka
教练给他的时间来解释这些话题，并且我们在安装必要的软件的过程中看到了很多细节，让kafka corriendp
Juan Manuel Del Alto Hewlett Packard全球服务中心S de RL de CV
课程名称: Distributed Messaging with Apache Kafka
Translated by
El instructor se da su tiempo en explicar los temas y vemos mucho en detalle en cuestion de instalacion del software necesario para tener kafka corriendp
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL de CV
Apache Kafka大纲
| 代码 | 名字 | 时长 | 概览 |
|---|---|---|---|
| kafka1 | Distributed Messaging with Apache Kafka | 14小时 | This course is for enterprise architects, developers, system administrators and anyone who wants to understand and use a high-throughput distributed messaging system. If you have more specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs. |
| kafkastreams | Building Stream Processing Applications with Kafka Streams | 7小时 | Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing. By the end of this training, participants will be able to: Understand Kafka Streams features and advantages over other stream processing frameworks Process stream data directly within a Kafka cluster Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams Write concise code that transforms input Kafka topics into output Kafka topics Build, package and deploy the application Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Notes To request a customized training for this course, please contact us to arrange. |
| introtostreamprocessing | A Practical Introduction to Stream Processing | 21小时 | Stream Processing refers to the real-time processing of "data in motion", that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc. Stream Processing frameworks are able to read large volumes of incoming data and provide valuable insights almost instantaneously. In this instructor-led, live training (onsite or remote), participants will learn how to setup and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices. By the end of this training, participants will be able to: Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming Understand and select the most appropriate framework for the job Process of data continuously, concurrently, and in a record-by-record fashion Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc. Integrating the most appropriate stream processing library with enterprise applications and microservices Audience Developers Software architects Format of the Course Part lecture, part discussion, exercises and heavy hands-on practice Notes To request a customized training for this course, please contact us to arrange. |
近期课程
| 课程 | 日期 | 价格【远程 / 传统课堂】 |
|---|---|---|
| Distributed Messaging with Apache Kafka - 上海 - 六八八广场 | 星期二, 2018-05-08 09:30 | ￥18410 / ￥19610 |
| Distributed Messaging with Apache Kafka - 北京 - 创而新大厦 | 星期二, 2018-05-08 09:30 | ￥18410 / ￥21610 |