Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Ask me anything: Unraveling data with Spark using machine learning

Vartika Singh (Cloudera), Jayant Shekhar (Sparkflows Inc.), Jeffrey Shmain (Cloudera)
16:3517:15 Thursday, 25 May 2017
Ask Me Anything
Location: Capital Suite 7
Average rating: *****
(5.00, 1 rating)

Join Vartika Singh, Jayant Shekha, and Jeffrey Shmain to ask questions about their tutorial Unraveling Data with Spark Using Machine Learning or anything else Spark related.

Photo of Vartika Singh

Vartika Singh

Cloudera

Vartika Singh is a solutions architect at Cloudera with over 10 years of experience applying machine learning techniques to big data problems.

Photo of Jayant Shekhar

Jayant Shekhar

Sparkflows Inc.

Jayant Shekhar is the founder of Sparkflows Inc., which enables machine learning on large datasets using Spark ML and intelligent workflows. Jayant focuses on Spark, streaming, and machine learning and is a contributor to Spark. Previously, Jayant was a principal solutions architect at Cloudera working with companies both large and small in various verticals on big data use cases, architecture, algorithms, and deployments. Prior to Cloudera, Jayant worked at Yahoo, where he was instrumental in building out the large-scale content/listings platform using Hadoop and big data technologies. Jayant also worked at eBay, building out a new shopping platform, K2, using Nutch and Hadoop among others, as well as KLA-Tencor, building software for reticle inspection stations and defect analysis systems. Jayant holds a bachelor’s degree in computer science from IIT Kharagpur and a master’s degree in computer engineering from San Jose State University.

Photo of Jeffrey Shmain

Jeffrey Shmain

Cloudera

Jeff Shmain is a principal solutions architect at Cloudera. He has 16+ years of financial industry experience with a strong understanding of security trading, risk, and regulations. Over the last few years, Jeff has worked on various use-case implementations at 8 out of 10 of the world’s largest investment banks.

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