Building Real World Big Data & Machine Learning Systems

Apr 20, 2017 · Santa Clara, United States of America

Now that Big Data and Machine Learning technologies are mature and ubiquitous, the emphasis is on building industry grade robust systems for the real world that innately solve complex business problems.  

This meetup focuses on exactly that! 
Both presentations will delve deeper into developing such systems with ease, at the lowest cost and fastest time to market.


- 6:00 pm to 6:30 pm
Registration & Networking  

- 6:30 pm to 7:30 pm
Building Scalable Big Data Machine Learning Systems 
Russ Savage - Application Engineering, Cask

This presentation showcases how to operationalize Machine Learning models for your e-commerce website by simplifying data collection, testing, and continuous improvement.

- 7:30 pm to 8:30 pm 
Hadoop and Spark in Machine Learning: a practical guide and best practices
Ofer Mendelevitch - VP, Data Science at

Machine learning using big data is powering many advanced applications in various industries such as online lending, self-driving cars and precision medicine. Hadoop and Spark are two of the most important open-source technologies that drive innovation in this ever-expanding field. In this talk, Ofer Mendelevitch will discuss his book ‘Practical Data Science at Scale with Hadoop and Spark’ and will focus on practical best practices for implementing scalable machine learning application

- 8:30 pm to 9:00 pm
QA & Networking

Speaker Bios:

Russ Savage
Russ Savage is leading the application engineering team at Cask, focusing on building end to end big data applications using the Cask Data Application Platform (CDAP). He believes that the true value of Hadoop and other big data technologies is only unlocked when they are used to solve problems and provide value to the business. He previously worked at Elastic as a solutions architect.

Ofer Mendelevitch
Ofer Mendelevitch is VP Data Science at Lendup, where he is responsible for Lendup’s machine learning and advanced analytics group. Prior to joining Lendup, Ofer was Director of Data Science at Hortonworks, where he was working on large-scale machine learning with Hadoop and Spark. Before Hortonworks, Ofer served as Entrepreneur in Residence at XSeed, VP of Engineering at Nor1, and Director of engineering at Yahoo! where he led multiple engineering and data science teams. Ofer's book "Practical Data Science with Hadoop and Spark" was published in December 2016.

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