Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Bill Chambers

Bill Chambers
Product Manager, Databricks


William Chambers is a product manager at Databricks, where he works on Structured Streaming and data science products. He is lead author of Spark: The Definitive Guide, coauthored with Matei Zaharia. Bill also created as a way to teach Apache Spark basics. Bill holds a master’s degree in information management and systems from UC Berkeley’s School of Information. During his time at school, Bill was also creator of the Data Analysis in Python with pandas course for Udemy and cocreator of and first instructor for Python for Data Science, part of UC Berkeley’s Masters of Data Science program.


2:55pm–3:35pm Wednesday, 09/12/2018
Location: 1E 07/08 Level: Intermediate
Bill Chambers (Databricks)
Average rating: ***..
(3.00, 1 rating)
Streaming big data is a rapidly growing field but currently involves a lot of operational complexity and expertise. Bill Chambers shares a decision making framework for determining the best tools and technologies for successfully deploying and maintaining streaming data pipelines to solve business problems and offers an overview of Apache Spark’s Structured Streaming processing engine. Read more.