Dremio for Self-Service Data Analysis培训

课程编码

dremio

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

  • An understanding of Hadoop, NoSQL, and other data storage concepts
  • Experience with writing SQL queries
  • Experience with Linux command line

课程概览

Dremio是一个开源的“自助数据平台”,可加速查询不同类型的数据源。 Dremio与关系数据库,Apache Hadoop,MongoDB,Amazon S3,ElasticSearch和其他数据源集成。它支持SQL并提供用于构建查询的Web UI。 在这个有指导意义的实时培训中,参与者将学习如何安装,配置和使用Dremio作为数据分析工具和底层数据存储库的统一层。 在培训结束后,参与者将能够: 安装和配置Dremio 执行针对多个数据源的查询,无论位置,大小或结构如何将Dremio与BI和数据源(如Tableau和Elasticsearch)集成 听众 数据科学家业务分析师数据工程师 课程的格式 部分讲座,部分讨论,练习和沉重的练习 笔记 要请求本课程的定制培训,请联系我们安排。

Machine Translated

课程大纲

Introduction

  • How Dremio solves the problem of data staging, data warehousing, aggregation, extracts, etc.

Installing and Configuring Dremio

Overview of Dremio Features and Architectures

  • Data Acceleration
  • Data Reflections (on HDFS, MapR-FS, cloud storage such as S3, local storage, etc.)

Query Execution Life Cycle

  • Planning, coordination, execution,

Navigating the Dremio Web UI

Discovering Data

  • The unified data catalog

Curating Data

  • Creating virtual datasets

Using SQL to Define Transformations

  • Joins and data type conversions
  • Connecting through ODBC, JDBC and REST

Sharing Data with Team

  • Uploading, collaboration, and access rights

Integrating Dremio with BI (Business Intelligence) Tools

  • Serving up data for Tableau

Integrating Dremio with an Elasticsearch Cluster

Summary and Conclusion

客户评论

★★★★★
★★★★★

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