Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Sameer Farooqui

Sameer Farooqui
Client Services Engineer, Databricks

Website | @blueplastic

Sameer Farooqui is a client services engineer at Databricks, where he works with customers on Apache Spark deployments. Sameer works with the Hadoop ecosystem, Cassandra, Couchbase, and general NoSQL domain. Prior to Databricks, he worked as a freelance big data consultant and trainer globally and taught big data courses. Before that, Sameer was a systems architect at Hortonworks, an emerging data platforms consultant at Accenture R&D, and an enterprise consultant for Symantec/Veritas (specializing in VCS, VVR, and SF-HA).

Sessions

9:00am–5:00pm Tuesday, 02/17/2015
Training
Location: 211 C
Sameer Farooqui (Databricks), Jesse Anderson (Smoking Hand)
This three-day curriculum features advanced lectures and hands-on technical exercises for advanced Spark usage in data exploration, analysis, and building Big Data applications. Course materials emphasize architectural design patterns and best practices for leveraging Spark in the context of other popular, complementary frameworks for building and managing Enterprise data workflows. Read more.
9:00am–5:00pm Wednesday, 02/18/2015
Training
Location: 211 C
Sameer Farooqui (Databricks), Jesse Anderson (Smoking Hand)
This three-day curriculum features advanced lectures and hands-on technical exercises for advanced Spark usage in data exploration, analysis, and building Big Data applications. Course materials emphasize architectural design patterns and best practices for leveraging Spark in the context of other popular, complementary frameworks for building and managing Enterprise data workflows. Read more.
9:00am–5:00pm Thursday, 02/19/2015
Training
Location: 211 C
Sameer Farooqui (Databricks), Jesse Anderson (Smoking Hand)
This three-day curriculum features advanced lectures and hands-on technical exercises for advanced Spark usage in data exploration, analysis, and building Big Data applications. Course materials emphasize architectural design patterns and best practices for leveraging Spark in the context of other popular, complementary frameworks for building and managing Enterprise data workflows. Read more.
2:20pm–3:00pm Friday, 02/20/2015
Ask Us Anything
Location: 211 B
Paco Nathan (derwen.ai), Matei Zaharia (Databricks), michael dddd (Databricks), Reynold Xin (Databricks), Holden Karau (Google), Reza Zadeh (Matroid | Stanford), Sameer Farooqui (Databricks), Denny Guang-yeu Lee (Microsoft), Chris Fregly (PipelineAI)
Join the Spark team for an informal question and answer session. Several of the Spark committers, trainers, etc., from Databricks will be on hand to field a wide range of detailed questions. Even if you don't have a specific question, join in to hear what others are asking. Read more.