Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Schedule: Platform sessions

4:20pm5:00pm Wednesday, March 15, 2017
Real-time applications, Stream processing and analytics
Location: LL20 A Level: Intermediate
Sridhar Alla (BlueWhale), Shekhar Agrawal (Comcast)
Average rating: *****
(5.00, 2 ratings)
Sridhar Alla and Shekhar Agrawal explain how Comcast built the largest Kudu cluster in the world (scaling to PBs of storage) and explore the new kinds of analytics being performed there, including real-time processing of 1 trillion events and joining multiple reference datasets on demand. Read more.
4:20pm5:00pm Wednesday, March 15, 2017
Kishore R (GE)
Average rating: ***..
(3.00, 1 rating)
Kishore Reddipalli explores how to stream data at a large scale from the edge to the cloud to the client, detect anomalies, analyze machine data in stream and rest in an industrial world, and optimize the industrial operations by providing real-time insights and recommendations using big data technologies. Read more.
5:10pm5:50pm Wednesday, March 15, 2017
Data engineering and architecture
Location: LL20 A Level: Advanced
Monal Daxini (Netflix)
Average rating: ****.
(4.50, 2 ratings)
Netflix Keystone processes over a trillion events per day with at-least-once processing semantics in the cloud. Monal Daxini explores what it means to offer stream processing as a service (SPaaS), how Netflix implemented a scalable, fault-tolerant multitenant SPaaS internal offering, and how it evolved the system in flight with no downtime. Read more.
11:50am12:30pm Thursday, March 16, 2017
Data engineering and architecture
Location: LL20 A Level: Intermediate
Kurt Brown (Netflix)
Average rating: ****.
(4.90, 10 ratings)
The Netflix data platform is constantly evolving, but fundamentally it's an all-cloud platform at a massive scale (40+ PB and over 700 billion new events per day) focused on empowering developers. Kurt Brown dives into the current technology landscape at Netflix and offers some thoughts on what the future holds. Read more.
1:50pm2:30pm Thursday, March 16, 2017
Spark & beyond
Location: LL20 A
Vinoth Chandar (Apache Hudi), Prasanna Rajaperumal (Uber)
Uber relies on making data-driven decisions at every level, and most of these decisions can benefit from faster data processing. Vinoth Chandar and Prasanna Rajaperumal introduce Hoodie, a newly open sourced system at Uber that adds new incremental processing primitives to existing Hadoop technologies to provide near-real-time data at 10x reduced cost. Read more.