Apache Druid for Real-Time Data Analysis培训

课程编码

druid

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

  • A basic understanding of data infrastructure.
  • A general knowledge of distributed systems.
  • Basic Linux command line familiarity.

Audience

  • Application developers
  • Software engineers
  • Technical consultants
  • DevOps professionals
  • Architecture engineers

课程概览

Apache Druid是一个用Java编写的开源,面向列的分布式数据存储。它旨在快速获取大量事件数据,并对该数据执行低延迟OLAP查询。德鲁伊通常用于商业智能应用程序,以分析大量的实时和历史数据。它还非常适合为最终用户提供快速,交互式分析仪表板。德鲁伊被阿里巴巴,Airbnb, Cisco ,eBay,Netflix,Paypal和雅虎等公司使用。

在这个由讲师指导的实时课程中,我们探讨了数据仓库解决方案的一些局限性,并讨论了德鲁伊如何能够补充这些技术以形成灵活且可扩展的流分析堆栈。我们通过许多示例,为参与者提供在实验室环境中实施和测试基于德鲁伊的解决方案的机会。

    课程格式

    • 部分讲座,部分讨论,繁重的实践练习,偶尔的测试来衡量理解

    Machine Translated

    课程大纲

    Introduction

    Installing and Starting Apache Druid

    Druid Architecture and Design

    Real-Time Ingestion of Event Data

    Sharding and Indexing

    Loading Data

    Querying Data

    Visualizing Data

    Running a Distributed Cluster

    Druid + Apache Hive

    Druid + Apache Kafka

    Druid + Others

    Troubleshooting

    Administrative Tasks

    Summary and Conclusion

    客户评论

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