Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Mark Grover

Mark Grover
Product Manager, Lyft

@mark_grover

Mark Grover is a product manager at Lyft. Mark’s a committer on Apache Bigtop, a committer and PPMCmember on Apache Spot (incubating), and a committer and PMC member on Apache Sentry. He’s also contributed to a number of open source projects, including Apache Hadoop, Apache Hive, Apache Sqoop, and Apache Flume. He’s a coauthor of Hadoop Application Architectures and wrote a section in Programming Hive. Mark is a sought-after speaker on topics related to big data. He occasionally blogs on topics related to technology.

Sessions

1:30pm–5:00pm Tuesday, 03/29/2016
Jonathan Seidman (Cloudera), Ted Malaska (Capital One), Gwen Shapira (Confluent), Mark Grover (Lyft)
Average rating: ****.
(4.48, 23 ratings)
Jonathan Seidman, Ted Malaska, Gwen Shapira, and Mark Grover walk participants through building a fraud-detection system, using an end-to-end case study to provide a concrete example of how to architect and implement real-time systems via Apache Hadoop components like Kafka, HBase, Impala, and Spark. Read more.
11:50am–12:30pm Thursday, 03/31/2016
Ask Me Anything

Location: 211 A-C
Mark Grover (Lyft), Jonathan Seidman (Cloudera), Ted Malaska (Capital One), Gwen Shapira (Confluent)
Average rating: *****
(5.00, 1 rating)
Mark Grover, Jonathan Seidman, Ted Malaska, and Gwen Shapira, the authors of <i>Hadoop Application Architectures</i>, participate in an open Q&A session on considerations and recommendations for the architecture and design of applications using Hadoop. Come with questions about your use case and its big data architecture or just listen in on the conversation. Read more.