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Presented By:
Neha Bhardwaj
Senior Software Consultant
Quick Tour on Zeppelin
Agenda
01 Introduction
02 Interpreters
03 Apache Spark Integration
04 Features: What else?
05 Demo
Introduction
Multi-purpose Interactive notebook
which supports-
Data Ingestion01
Data Visualization &
Collaboration
02
Data Analytics03
Image Placeholder
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.
Supported Interpreters
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
What else?
● Able to receive Dynamic Inputs
● Save work directly on Remote Repository
● Run Jobs Periodically, using a Cron setup
● Import Notebooks
● Dependency Management
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
References
● https://zeppelin.apache.org/docs/0.8.0/
● https://www.analyticsindiamag.com/jupyter-vs-zeppelin-a-comprehensive-
comparison-of-notebooks
Thank You !
Get in touch with us:
Lorem Studio, Lord Building
D4456, LA, USA

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Quick Tour On Zeppelin