Dear members of the Apache Zeppelin, Apache MADlib, and Apache HAWQ communities,
We are hosting a cross-community virtual meeting for data science users this next Tuesday, June 21, 9AM Pacific. No sign up is necessary, just join the event here
. This meeting will also be recorded and posted.
We'll be introducing users of Zeppelin to the capabilities of the MADlib SQL machine learning library. We'll be showing users of MADlib how they can visualize their investigations and publish their work using the Zeppelin notebook.
* What is Apache Zeppelin?
* What is Apache HAWQ (incubating) and Apache MADlib (incubating)? - 5 min/Frank
* Demo of Zeppelin and MADlib for data science running on HAWQ
More about the technologies we'll be discussing:
Apache Zeppelin is a
web-based notebook that enables interactive data analytics. It lets you make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. Apache Zeppelin has plugins to many database engines including PostgreSQL, and massively parallel processing engines based off PostgreSQL including Apache HAWQ and the Greenplum Database.
Apache MADlib (incubating)
is a big data machine learning library in SQL for data scientists. It operates on data locally in PostgreSQL-compatible database engines. MADlib is optimized for parallel processing platforms such as Apache HAWQ and the Greenplum Database.
Apache HAWQ (incubating) is an Apache Hadoop-Native SQL query engine that operates directly on data in a Hadoop cluster. It provides the highest degree of SQL completeness of any SQL on Hadoop engine. It scales elastically, is parallel processing, and integrates with MADlib and Zeppelin.
Speakers will be:
Moon soo Lee - CTO, NFLabs
LeeMoonSoo is a creator for Apache Zeppelin (incubating) and a Co-Founder, CTO at NFLabs.
Frank McQuillan - Director of Product Management, Pivotal SoftwareFrank McQuillan focuses on analytics and machine learning for large data sets.
Rahul Iyer - R&D Manager, Pivotal Software
Rahul Iyer leads the development team at Pivotal Software that contributes to the Apache MADlib project.
See you this next Tuesday, June 21, 9AM Pacific. No sign up is necessary, just join the event here.