Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Debasish Ghosh

Debasish Ghosh
Principal Software Engineer, Lightbend

Website | @debasishg

Debasish Ghosh is a principal software engineer at Lightbend. He’s passionate about technology and open source, loves functional programming, and has been trying to learn math and machine learning. Debasish is an occasional speaker in technology conferences worldwide, including the likes of QCon, Philly ETE, Code Mesh, Scala World, Functional Conf, and GOTO. He’s the author of DSLs In Action and Functional & Reactive Domain Modeling. Debasish is a senior member of ACM. He’s also a father, husband, avid reader, and Seinfeld fan, who loves spending time with his beautiful family.


1:50pm2:30pm Wednesday, March 7, 2018
Debasish Ghosh (Lightbend)
Average rating: ***..
(3.33, 3 ratings)
Debasish Ghosh explores the role that approximation data structures play in processing streaming data. Typically, streams are unbounded in space and time, and processing has to be done online using sublinear space. Debasish covers the probabilistic bounds that these data structures offer and shows how they can be used to implement solutions for fast and streaming architectures. Read more.