Apache Kylin: From Classic OLAP to Real-Time Data Warehouse Training Course

Duration

14 hours (usually 2 days including breaks)

Requirements

  • An understanding of Hadoop

Overview

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, 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

Course Outline

To request a customized course outline for this training, please contact us.

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