addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwchatcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscrossdots-three-verticaleditemptyheartexporteye-with-lineeyefacebookfolderfullheartglobegmailgoogleimageimagesinstagramlinklocation-pinmagnifying-glassmailminusmoremuplabelShape 3 + Rectangle 1outlookpersonplusprice-ribbonImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruseryahoo

Sparkling Water = Spark + H2O (SQL and ML)

Get best of Spark and H2O with H2ORDD Connector and Tachyon! 

Big Data has moved in-memory. Customers using SQL in their Join & Munging efforts via Apache Spark need to use Regressions and Deep Learning. To seamlessly weave SQL workflows with Data Science and Machine Learning, we architected H2ORDD. This brings continuity to their in-memory interactive experience.  In this talk our resident DSL guru and Scala and Sparkler Michal Malohlava will unwrap the cool!

About Michal:

Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years.
He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University.

During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. He participated in design and development of various systems including SOFA and Fractal component systems or jPapabench control system.

Join or login to comment.

  • Patrick N.

    I am currently working on a book about Scala for Machine Learning.

    1 · May 26, 2014

    • Sree V.

      i am interested to learn more

      May 28, 2014

Our Sponsors

People in this
Meetup are also in:

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy