The Apache Big Data Europe conference (http://events.linuxfoundation.org/events/apache-big-data-europe) is in town, and we are organizing an event where you can listen to and meet with the international speakers and attendees.
We plan to have the following talks:
Dive deeper, Soar higher: MADlib + HAWQ for advanced SQL machine learning on Hadoop
The growing Apache ecosystem just got bigger and better -- now with the ability to crunch vast volumes of data using fully ANSI-compliant SQL and at-scale machine learning algorithms.
Apache HAWQ has been years in the making and derives its heritage from Greenplum Database and PostgreSQL. HAWQ enables developers, analysts, data scientists and engineers to run advanced SQL queries, transforming data sets of extreme size, visualizing data with standard tools, and seamlessly running R and Python in a highly-distributed fashion all in the same environment. Invoke powerful machine learning and advanced statistical functions using Apache MADlib, and build models on billions of rows of data.
Speakers from Pivotal and Hortonworks will discuss the following:
- Introduction to Apache HAWQ & Apache MADlib
- All about the Open Data Platform initiative
- Data science in the Hadoop ecosystem
- Live, end-to-end data science demo using Apache HAWQ, Apache MADLib, and Hortonworks Data Platform
Caleb Welton is Director for SQL on Hadoop at Pivotal covering the Pivotal HAWQ database. He has spent the last 18 years developing database technology for Oracle, Greenplum, EMC and Pivotal. In addition to his contributions in database technology he is one of the founding members of the open source MADlib project for in-database machine learning. Caleb is named inventor for 11 patents in database technology and has presented papers at SIGMOD, VLDB and KDD.
Michael Natusch leads Pivotal's Data Science team in EMEA. His experience lies in predictive analytics and his area of specialization is the application of statistical methods to large-scale data sets, in particular through the application of machine learning algorithms. Michael holds a PhD in theoretical physics from the University of Cambridge and an MBA. He is a Fellow of the Royal Statistical Society and lectures at the Open University.
Janos Matyas is a Sr. Director of Engineering at Hortonworks and former CTO at SequenceIQ (acquired by Hortonworks). Before co-founding SequenceIQ he was a Solutions Architect at EPAM Systems. He is an open source advocate and Apache Ambari committer, a Hadoop YARN evangelist and a keen surfer and freeskier. He holds a Master's Degree in Computer Science, specialized on distributed systems.
18:30 Doors open
19:00 Talks begin
21:00 Meetup finishes
After the meetup we'll visit a nearby pub (exact location to be announced). Join us there, have some drinks and talk data (or anything else) even if you can't make it to the meetup!
We have created a separate event for the afterparty at Ankert. If you are planning to join us for drinks there, please RSVP here: www.meetup.com/Big-Data-Meetup-Budapest/events/[masked] (http://www.meetup.com/Big-Data-Meetup-Budapest/events/225567417/)
This will be an English speaking event. The meetup will be hosted by LogMeIn.