Demo and Open House: Big Data Processing with Apache Spark

Visit us at Metis (http://www.thisismetis.com/) in San Francisco to meet Shirish Tatikonda, Principal Data Engineer at Target Corp. and creator and instructor of the Metis evening course Big Data Processing with Apache Spark (http://www.thisismetis.com/big-data-processing).

During his demo, Shirish will go over how to use Spark for building real-world applications involving data munging, data transformations (or ETL), and predictive modeling. He will demonstrate building continuous applications by processing data from Twitter feeds.

Afterwards, he'll discuss the structure and outcomes of his upcoming Big Data course, which is designed for all data enthusiasts who want to derive value from their data sets. It's an ideal course for aspiring data engineers and data scientists, as well as for:

• Data engineers who wish to broaden their knowledge of modern distributed computing platforms.

• Data analysts and scientists who are interested in learning techniques to scale their mathematical models to large data sets.

• Individuals with some computing background and are generally curious about the new exciting field of big data.

The course starts Tuesday, October 25th and will be held on Tuesday and Thursday evenings from 6:30 - 9:30pm through December 6th.

Food and drinks will be served.

6:30 - 7:00 Register, Mingle, Eat & Drink
7:00 - 7:30 Instructor Shirish Tatikonda presents
7:30 - 8:00 Chat with Shirish, attendees, Metis staff and enjoy more food & drink

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Shirish TatikondaPrincipal Data Engineer, Target Corp
Metis Instructor

Shirish Tatikonda is a Principal Data Engineer at Target Corp. working on big data problems in the Retail domain. Previously, he was a Research Staff Member at IBM Research Almaden Research Center. His work is focused on building scalable and efficient data processing systems and services for analyzing and managing large volumes of data. At IBM, he played an important role in the design and development of SystemML, a system for scalable machine learning on distributed platforms like Hadoop and Spark, which is now incubating in the open-source as Apache SystemML. Shirish is a committer and PMC member for the project in the Apache Software Foundation. He's published more than 25 articles in top international journals and peer-reviewed conferences. He holds two granted and seven more pending USPTO patents. Shirish received his PhD degree from The Ohio State University in 2010.

Connect with us before the event! @thisismetis (https://twitter.com/thisismetis)