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Data By the Bay

Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas spanned by multiple horizontal data pipelines, platforms, and algorithms. We are unifying data science and data engineering, showing what really works to run businesses at scale.

Chester Chen

Alpine Data
Director of Engineering
San Francisco

Chester Chen is the Director of Engineering and hands on architect at Alpine Data Labs. He manages the analytics platform development as well as contribute to some of the major developments. He has been working with scala on and off since Scala 2.7. He is the founder and organizer of SF Big Analytics Meetup, as well as the main co-organizer of the SF machine learning meetup. Before joining Alpine Data Labs, he had played many roles as Technical Director, Architect, Director of development as well as individual developers in many companies.

9:05am PDT

Keynote: Building a Real-time Streaming Platform Using Kafka Streams and Kafka Connect GardnerJay Kreps

9:50am PDT

Time-series Feature Engineering Done Right GardnerParag Namjoshi

10:40am PDT

Google BigQuery: a fully-managed data analytics service in the cloud GardnerMichael Entin

11:40am PDT

Apache Flink: A Very Quick Guide AdaVladimir Bacvanski Characterizing and measuring the performance of Big Data processing platforms MarkovManish Singh

1:10pm PDT

Akka Streams for Large Scale Data Processing AdaZack Loebel-Begelman • Dustin Lyons Netflix Keystone - Streaming Data Pipeline @Scale in the Cloud GardnerMonal Daxini

3:00pm PDT

A Real Time Analytics Framework AdaHiral Patel Concord: Simple & Flexible Stream Processing on Apache Mesos MarkovShinji Kim

4:00pm PDT

Parallel and distributed big joins in H2O MarkovMatt Dowle

10:40am PDT

End-2-End Monitoring and Troubleshooting a Real-Time Data Pipeline AdaAlan Ngai

11:40am PDT

From text to knowledge via ML algorithms - the Quora answer MarkovXavier Amatriain

4:00pm PDT

Deep Dive: Spark Memory Management AdaAndrew Or

9:50am PDT

Beyond 1M Acres of Drone Imagery AdaNicholas Pilkington

10:40am PDT

Analyzing Massive Time Series Data with Spark GardnerSandy Ryza

11:40am PDT

Inside Pandora: Practical Application of Big Data in Music GardnerOscar Celma

2:10pm PDT

Deep dive and best practices of Spark streaming AdaPrakash Chockalingam

3:00pm PDT

Hidden GEMMs: How Optimized Math Libraries Work AdaMarek Kolodziej

4:00pm PDT

Optimizing Machine Learning Models MarkovScott Clark

10:40am PDT

Real Time Machine Learning Visualization with Spark AdaChester Chen

1:10pm PDT

Visualizing big data: live coding an interactive dataviz app with opensource tools MarkovOlivier Balbous

3:00pm PDT

Distributed Visualization for Genomic Analysis GardnerAlyssa Morrow • Eric Tu