Boston | April 30-May 3, 2019
Big Data Science Track
Stand at the intersection of big data and data analytics
Big Data Science
The Big Data Science conference gathers the world’s best big data specialists and data scientists to share their expertise and insights from across multiple industries. This is your best opportunity to learn directly from speakers and workshops presenters about the tools and technologies that are transforming big data and data science.
Big data science is the convergence of big data infrastructure and applied data science to deliver powerful insights into big data problems. Through talks and training focused on big data analytics platforms, you’ll begin to pick up the most current skills necessary for analyzing big data sets.
Some of Our Current Speakers
East 2019 Focus Area Sessions
Workshop: Building an Open Source Streaming Analytics Solution with Kafka and Druid
Talk: How LinkedIn Navigates Streams Infrastructure Using Cruise Control
Workshop: Real-ish Time Predictive Analytics with Spark Structured Streaming
Tutorial: When the Bootstrap Breaks
And many more!
You Will Meet
Some of the world’s best big data speakers
Data-driven business practitioners
Big data and data science innovators
Data science & analytics specialists
Database and software architects
Many of the brains and authors behind today’s most popular big data platforms
Hundreds of attendees focused on big data science
Chief Data Scientists from startups and Fortune 500 companies
Hadoop, Spark, Storm and other open-source big data analytics tools users
Peers from startups to Fortune 500 companies wrestling with large sets of consumer data
Representatives from Government agencies, universities, and other large institutions
Why Attend?
Immerse yourself in talks and workshops on big data science tools, topics and languages
Learn about data science at scale from today’s big data practitioners
Network and connect with like-minded attendees to discover your next job, service, product or startup
Get speaker insights and training in big data tools such as Hadoop, Spark, Storm, Drill, and other big data platforms