Apache Zeppelin is a web-based notebook for interactive data analytics. It allows for interactive coding and visualization with out-of-the-box support for Spark integration. Some key features include interactive notebooks, built-in visualization options, and extensibility through additional interpreters and custom visualization. While it is easy to configure and use, installation from source is required for customization and it currently lacks multi-user support.

1. Apache Zeppelin
The (very) short field trip
by G.Alléon & G.DupontTDS meetup - 2016.06.30

2. Who are we?
Guillaume Alleon - AIRBUS Group Innovation (corporate research center)
Research leader for more than 30 people from UK to China, tackling problems in massive data processing
and information extraction.
Was already in “big data” when it was still called HPC…
Gerard Dupont - AIRBUS Defence & Space (space systems)
Technical coordinator for R&T studies on distributed processing systems.
Spend way too much time processing web data for intelligence, now looking to the sky (satellite data ;-)

3. Zeppelin moto
“A web-based notebook that enables interactive data analytics.”

4. Origins & history
Missing piece in HADOOP landscape: a modern analytic playground.
2012.12 - Data analytics
solution (NFLabs)
2013.10 - Opensourced
2014.12 - ASF incubation
2015 - 3 stable releases
2016.05 - Maturing to Apache
top level project

5. 3000 feet view

6. What’s cool about Zeppelin
⊕interactive
⊕out-of-the-box spark integration
⊕out-of-the-box visualization options
⊕direct access to DOM for customized visualization
⊕nice UI (bootstrap & angular)
⊕notebook run scheduler
⊕easy to configure
⊕extensibility, extensibility and extensibility...

7. What’s cool about Zeppelin
⊕interactive
⊕out-of-the-box spark integration
⊕out-of-the-box visualization options
⊕direct access to DOM for customized visualization
⊕nice UI (bootstrap & angular)
⊕notebook run scheduler
⊕easy to configure
⊕extensibility, extensibility and extensibility...
… the dark side
⊝hard to install
⊝need to build from the source
(for customized version)
⊝not (yet) multi-users

8. Overview/look & feel
Interpreter text
(aka your code)
Interpreter config
Interactive results

9. DEMO time
credits: https://www.weasyl.com/~uszatyarbuz

10. Under the hood
○ Interpreter isolation with their
own JVM
○ Dynamic dependencies loading
○ REST & websocket on front
○ Thrift in back
(or whatever you add)
○ Process scheduler (cron-like)

11. Roadmap
Enterprise Ready
○ Multi-tenancy
○ Job scheduler
○ HA
Usability Improvement
○ UX improvement
○ Table data support
○ Dynamic interpreter integration
○ Reusable analytic application catalog

12. Thx
Offical website: https://zeppelin.apache.org/
Notebook sample: https://www.zeppelinhub.com/viewer
Source code: https://github.com/apache/incubator-zeppelin
Mailing lists: http://zeppelin.apache.org/community.html
This TDS notebook: http://tinyurl.com/zeppelin-tds
Sources for this presentation:
○ http://www.slideshare.net/FlinkForward/moon-soo-lee-data-science-lifecycle-with-apache-flink-and-apache-zeppelin/23
○ http://www.slideshare.net/HadoopSummit/apache-zeppelin-helium-and-beyond
○ http://www.slideshare.net/felixcss/interactive-data-science-from-scratch-with-apache-zeppelin-and-apache-spark
○ http://www.slideshare.net/BrunoBonnin/explorez-vos-donnes-avec-apache-zeppelin
credits: https://www.weasyl.com/~uszatyarbuz

13. BACKUP

14. Origins & history
Active core teams
Descent number of
external contributors
Plenty of interpreters
(official and external)
0.6.0-SNAPSHOT
(pending stabilization)

15. 3000 feet view