Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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.


14:0514:45 Wednesday, 1 May 2019
Mark Grover (Lyft)
Average rating: ****.
(4.64, 11 ratings)
Mark Grover discusses how Lyft has reduced the time it takes to discover data by 10 times by building its own data portal, Amundsen. Mark gives a demo of Amundsen, leads a deep dive into its architecture, and discusses how it leverages centralized metadata, PageRank, and a comprehensive data graph to achieve its goal. Mark closes with a future roadmap, unsolved problems, and collaboration model. Read more.
14:5515:35 Wednesday, 1 May 2019
Data Engineering and Architecture
Location: Capital Suite 8/9
Mark Grover (Lyft), Deepak Tiwari (Lyft)
Average rating: ****.
(4.69, 13 ratings)
Lyft’s data platform is at the heart of the company's business. Decisions from pricing to ETA to business operations rely on Lyft’s data platform. Moreover, it powers the enormous scale and speed at which Lyft operates. Mark Grover and Deepak Tiwari walk you through the choices Lyft made in the development and sustenance of the data platform, along with what lies ahead in the future. Read more.