Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore
Mark Grover

Mark Grover
Product Manager, Lyft


Mark Grover is a product manager at Lyft. Mark’s a committer on Apache Bigtop, a committer and PPMC member 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.


9:00am–12:30pm Tuesday, 12/01/2015
Hadoop Platform
Location: 321-322 Level: Intermediate
Gwen Shapira (Confluent), Ted Malaska (Capital One), Mark Grover (Lyft), Jonathan Seidman (Cloudera)
Average rating: ****.
(4.16, 19 ratings)
Looking for a deeper understanding of how to architect real-time data processing solutions? This tutorial will provide this understanding using a real-world example of a fraud detection system. We’ll use this example to discuss considerations for building such a system, how you’d integrate various technologies, and why those choices make sense for the use case in question. Read more.
4:00pm–4:40pm Wednesday, 12/02/2015
Hadoop & Beyond
Location: 328-329 Level: Intermediate
Ted Malaska (Capital One), Mark Grover (Lyft)
Average rating: ***..
(3.71, 7 ratings)
In this session, we will discuss common archictectural patterns for building streaming applications. Read more.
11:50am–12:30pm Thursday, 12/03/2015
Location: AMA Thursday (O'Reilly Booth)
Mark Grover (Lyft), Ted Malaska (Capital One), Gwen Shapira (Confluent), Jonathan Seidman (Cloudera)
Join the authors of Hadoop Application Architectures for an open Q/A session on considerations and recommendations for architecture and design of applications using Hadoop. Talk to us about your use-case and its big data architecture, or just come to listen in. Read more.