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Introduction to Apache Zeppelin Course Description

Data scientists use data exploration and visualization to help frame the question and fine tune the learning. Apache Zeppelin helps with this.

Based on the concept of an interpreter that can be bound to any language or data processing backend, Zeppelin is a web-based notebook server. As one of its backends, Zeppelin implements Spark, and other implementations, such as Hive, Markdown, D3 etc., are also available.

The Introduction to Apache Zeppelin training course discusses the architecture and building of custom notebooks for Zeppelin. Though Zeppelin is still in the incubation stage at Apache the framework shows great promise for web visualization of big data.

 

Introduction to Apache Zeppelin Course Learning Outcomes;

  • Discover how to expose data processing results in Zeppelin.
  • Understand the fundamental building blocks of a Zeppelin based UI
  • How to integrate Zeppelin with Spark, Flink and Map Reduce

 

Apache Zeppelin Training – Suggested Audience

This course is aimed at Developers and those interested in putting a UI on big data. Suggested audience based on attendees from our past programs are:

  • Software Developer
  • Software Architects
  • System Integrator
  • Java Developers
  • IT Professionals

 

Apache Zeppelin Training – Prerequisites

No as such prerequisites. Knowledge of Java would be ideal.

 

Zeppelin Foundation Training In-house/Corporate Training

If you have a group of 5-6 participants, apply for in-house training. For commercials please send us an email with group size to hello@pincorps.com

Course Curriculum

1. Getting up and running with Zeppelin
2. Basic local install
3. Integration with an existing Cluster
The Zeppelin Interpreter Details 00:00:00
Spark Details 00:00:00
Flink Details 00:00:00
Hive Details 00:00:00
sh Details 00:00:00
4. Display System
HTML Details 00:00:00
text Details 00:00:00
tables Details 00:00:00
Integration with Angular Details 00:00:00
5. Writing your own Interpreter
Zeppelin Internals Details 00:00:00

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