Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
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

9:00–12:30 Wednesday, 1/06/2016
Hadoop internals & development
Location: Capital Suite 13 Level: Intermediate
Jonathan Seidman (Cloudera), Mark Grover (Lyft), Gwen Shapira (Confluent), Ted Malaska (Capital One)
Average rating: ***..
(3.50, 6 ratings)
Jonathan Seidman, Mark Grover, Gwen Shapira, and Ted Malaska walk attendees through an end-to-end case study of building a fraud detection system, providing a concrete example of how to architect and implement real-time systems. Read more.
14:05–14:45 Thursday, 2/06/2016
Ask Me Anything
Location: Expo Hall (AMA tables)
Mark Grover (Lyft), Jonathan Seidman (Cloudera), Ted Malaska (Capital One), Gwen Shapira (Confluent)
Average rating: ****.
(4.50, 2 ratings)
Mark Grover, Jonathan Seidman, Ted Malaska, and Gwen Shapira, the authors of Hadoop Application Architectures, 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.