Course Outline

Introduction

Installing and Configuring Zeppelin

Overview of Zeppelin Features and Architecture

Navigating the Browser Interface

Understanding the Data Analysis Workflow

Organizing Data for Analysis

Visualizing Data

Sharing Data and Collaborating with Other Analysists

Working with Plug-ins

Backend Data Processing

Working with Scala and Apache Spark

Working with Python and Apache Spark

Working with Spark SQL

Working with JDBC

Using Markdown and Shell

Integrating Zeppelin with Spark, Flink and Map Reduce

Setting up and Securing Multi-user Instances

Troubleshooting

Summary and Conclusion

Requirements

  • An understanding of big data concepts
  • Experience with Spark and Hadoop
  • Experience with the command line
 14 Hours

Testimonials (5)

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