Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, 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 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.

Sessions

11:00am–11:40am Thursday, March 28, 2019
Disrupting data discovery
Data Engineering & Architecture
 Location: 2001
Secondary topics:  Data preparation, data governance, and data lineage, Transportation and Logistics
Mark Grover (Lyft), Tao Feng (Lyft)
Average rating: ****.
(4.40, 10 ratings)
Lyft has reduced the time it takes to discover data by 10x by building its own data portal, Amundsen. Mark Grover and Tao Feng offer a demo of Amundsen and lead a deep dive into its architecture, covering how it leverages centralized metadata, PageRank, and a comprehensive data graph to achieve its goal. They also explore the future roadmap, unsolved problems, and its collaboration model. Read more.