Big Data Analytics: Scalable machine learning using open-source tools

Big Data Analytics: Scalable machine learning using open-source tools with Rahul Iyer

5:30-6:30 pm Pizza and networking
6:30-8:00pm Talk and Q&A
8:00-8:30 pm Wind down

With the explosion of big data, the need for fast and inexpensive analytics solutions has become a key basis of competition in many industries. Extracting the value of big data with analytics can be complex, and requires advanced skills.

At Pivotal, we are building open-source solutions (MADlib, PivotalR, PyMadlib) to simplify this process for the user, while maintaining the efficiency necessary for big data analysis.

This talk will provide information about MADlib, an open source library of SQL-based algorithms for machine learning, data mining and statistics that run at large scale within a database engine, with no need for data import/export to other tools.

It provides an overview of the library’s architecture and compares various statistical methods with those available in other open-source packages like Spark and Mahout.

We also introduce, PivotalR, a R-based wrapper for MADlib that allows data scientists and programmers to access power of MADlib along with the ease of use of R.

About the speaker:  Rahul Iyer

Rahul Iyer is a Senior Developer in the Predictive Analytics team at Pivotal. He has a background in the field of robotics and machine learning, and holds a PhD in Computer Science from the University of Texas at Austin.

As part of this doctoral research, he worked on building computational model simulations for human walking using realistic musculoskeletal models. At Pivotal, he primarily works towards developing novel solutions for large-scale machine learning problems, contributing to open-source tools like MADlib and PivotalR. Outside of work, he enjoys travel, photography and racquetball.

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  • Trip S.

    Can we use VoltDb with MadLib?

    March 12, 2014

    • Rahul

      VoltDB is currently not supported as a port for MADlib. We are investigating options for applying MADlib for streaming problems (where in-memory databases like VoltDB would be useful).

      1 · March 12, 2014

    • Trip S.

      thanks...let us know

      March 12, 2014

  • Trip S.

    Can we have the slides - nothing so far

    March 11, 2014

  • Gero S.

    Really good presentation, learned about the machine learning library MADlib and PivotalR as R front-end to the database (eliminating the use of SQL) and as wrapper for MADlib. Also touched aspects of data science workflow, MPP, performance/scalability, and efficient implementation of machine learning algorithms. Thanks to Rahul and Tamao!

    March 6, 2014

  • Peng

    Where can I download the slides? Or you can please email it to us.

    March 5, 2014

  • Trip S.

    Very nice event ...where are the slides?

    March 5, 2014

  • Sébastien G.

    Congratulations, it was very interesting.

    March 5, 2014

  • A former member
    A former member

    Someone please record it.

    2 · February 6, 2014

    • subcosmos

      Thanks indeed! Please let us know where to find it :)

      March 4, 2014

    • Tamao N.

      coming soon!

      1 · March 4, 2014

  • Walter M.

    Good presentation on MadLib and PivotalR. Flowed well, covered a good selection of points.

    March 4, 2014

  • Slim C.

    I am unable to attend unfortunately. Thank you organizer for recording the event. Hope to see you at future events!

    March 4, 2014

  • Randy B.

    I'm out of town and changed my RSVP to "no".
    Hopefully the event will be recorded (per mention in earlier posts...thanks for working on getting it recorded).

    March 4, 2014

  • A former member
    A former member

    Love big data and want to learn more!

    March 3, 2014

  • Joao l.

    Congratulation to pivotal team, excelent iniciative.

    1 · February 7, 2014

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