An Open Source Notebook based tool that supports Data ingestion, collaboration and Analytics. Offers visualization with modern UI and other interesting features including GitHub integration, cron schedules, importing and exporting notebooks and many more.

1. Presented By:
Neha Bhardwaj
Senior Software Consultant
Quick Tour on Zeppelin

2. Agenda
01 Introduction
02 Interpreters
03 Apache Spark Integration
04 Features: What else?
05 Demo

3. Introduction
Multi-purpose Interactive notebook
which supports-
Data Ingestion01
Data Visualization &
Collaboration
02
Data Analytics03
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4. Interpreters
● A Gateway to connect specific framework to run actual code.
● Apache Zeppelin interpreter concept allows any language/data-processing-backend
to be plugged into Zeppelin.
● Currently, Apache Zeppelin supports many interpreters such as Apache Spark,
Python, JDBC, Markdown and Shell.

5. Supported Interpreters

6. Apache Spark integration
● %spark as the default interpreter.
● Automatic SparkContext(sc) and SQLContext(sqlContext) injection
● Runtime jar dependency loading from local filesystem or maven repository.
● Canceling job and displaying its progress

7. What else?
● Able to receive Dynamic Inputs
● Save work directly on Remote Repository
● Run Jobs Periodically, using a Cron setup
● Import Notebooks
● Dependency Management

8. Why Zeppelin?
● Interactive Forms and the Visualisation Results in a Faster Way.
● Flexible Security Configurations for the End Users
● Multiple Interpreters in the Same Notebook
● Multi-User Capability
● Configuring Interpreters is easier
● Modern Interface

9. References
● https://zeppelin.apache.org/docs/0.8.0/
● https://www.analyticsindiamag.com/jupyter-vs-zeppelin-a-comprehensive-
comparison-of-notebooks

10. Thank You !
Get in touch with us:
Lorem Studio, Lord Building
D4456, LA, USA