- Scala for Machine Learning(Second Edition)
- Patrick R. Nicolas
- 296字
- 2021-07-08 10:43:00
About the Reviewers
Sumit Pal has more than 24 years of experience in the software industry, spanning companies from start-ups to enterprises.
He is a big data architect, visualization, and data science consultant, and builds end-to-end data-driven analytic systems.
Sumit has worked for Microsoft (SQLServer), Oracle (OLAP), and Verizon (big data analytics).
Currently, he works for multiple clients, building their data architectures and big data solutions and works with Spark, Scala, Java, and Python.
He has extensive experience in building scalable systems in middle tier, data tier to visualization for analytics applications, using big data and NoSQL databases.
Sumit has expertise in database internals, data warehouses, and dimensional modeling, as an associate director for big data at Verizon. Sumit strategized, managed, architected, and developed analytic platforms for machine learning applications. Sumit was the chief architect at ModelN/LeapfrogRX (2006-2013), where he architected the core analytics platform.
He is the author of SQL On Big Data - Technology, Architecture and Roadmap published by Apress in October 2016.
He has spoken on the topic covered in this book at the following conferences:
- May 2016, Big Data Conference—Linux Foundation in Vancouver, Canada
- March 2016, World Data Center Conference in Las Vegas, USA
- November 2015, BigData TechCon in Chicago, USA
- August 2015, Global Big Data Conference in Boston, USA
He is also the author of SQL On Big Data by Apress in December 2016.
Dave Wentzel is the Chief Technology Officer (CTO) of Capax Global, a premier Microsoft consulting partner. Dave is responsible for setting the strategy and defining service offerings and capabilities for the data platform and Azure practice at Capax. Dave also works directly with clients to help them with their big data journey. Dave is a frequent blogger and speaker on big data and data science topics.