Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Building data lakes in the cloud with self-service access (sponsored by Talend)

Eric Anderson (Beachbody), Shyam Konda (Beachbody)
4:20pm5:00pm Wednesday, March 15, 2017
Location: 230 B
Average rating: ***..
(3.50, 2 ratings)

What you'll learn

  • Learn how Beachbody, the maker of P90X and CIZE, implemented Agile, self-service access to its corporate data lake


Eric Anderson and Shyam Konda explain how the IT team at Beachbody—the makers of P90X and CIZE—successfully ingested all their enterprise data into Amazon S3 and delivered self-service access in less than six months with Talend. When you’re in a competitive industry, it’s imperative for employees to have timely access to enterprise data to make informed decisions. Working with Talend, Beachbody enabled its central analytics team to move from receiving new data once a week to having it in near real time for faster business decisions.

Photo of Eric Anderson

Eric Anderson


Eric Anderson leads Beachbody’s Data organization, which includes BI, data warehousing, big data, and email and CRM platforms. Eric is focused on providing business value in the shortest amount of time by leveraging a wide array of technologies to deliver outcomes quickly. He’s delivered on data initiatives for over 15 years with Accenture and Slalom Consulting and worked for a number of other technology companies, including TrueCar and Edmunds. Eric is well versed in traditional data warehousing, BI platforms, Hadoop, MPP platforms, data integration tools, and AWS infrastructure and services. He holds an MBA.

Photo of Shyam Konda

Shyam Konda


Shyam Konda is a lead data engineer at Beachbody. Shyam has over 10 years of experience in the IT industry, with a focus on dat warehouse and BI platforms. Shyam started his career as ETL engineer, working on tools like Informatica, SSIS, Talend, and SAP data services. He’s well versed in writing SQL and PLSQL code against relational databases like Oracle, SQL Server, Teradata, MySQL, Hive, Redshift, Postgres, and Netezza and has worked on cutting-edge technologies like Hadoop, SQOOP, Hive, Pig, HBase, Elasticsearch, S3, and Amazon Redshift. Shyam has helped teams in previous companies build jobs which can be used as templates for code reusability, making maintenance and enhancements easy. He holds a master’s degree in computer science from Northwest Missouri State University.