- Machine Learning with Spark(Second Edition)
- Rajdeep Dua Manpreet Singh Ghotra Nick Pentreath
- 459字
- 2021-07-09 21:07:36
About the Authors
Rajdeep Dua has over 16 years of experience in the Cloud and Big Data space. He worked in the advocacy team for Google's big data tools, BigQuery. He worked on the Greenplum big data platform at VMware in the developer evangelist team. He also worked closely with a team on porting Spark to run on VMware's public and private cloud as a feature set. He has taught Spark and Big Data at some of the most prestigious tech schools in India: IIIT Hyderabad, ISB, IIIT Delhi, and College of Engineering Pune.
Currently, he leads the developer relations team at Salesforce India. He also works with the data pipeline team at Salesforce, which uses Hadoop and Spark to expose big data processing tools for developers.
He has published Big Data and Spark tutorials at http://www.clouddatalab.com. He has also presented BigQuery and Google App Engine at the W3C conference in Hyderabad (http://wwwconference.org/proceedings/www2011/schedule/www2011_Program.pdf). He led the developer relations teams at Google, VMware, and Microsoft, and he has spoken at hundreds of other conferences on the cloud. Some of the other references to his work can be seen at http://yourstory.com/2012/06/vmware-hires-rajdeep-dua-to-lead-the-developer-relations-in-india/ and http://dl.acm.org/citation.cfm?id=2624641.
His contributions to the open source community are related to Docker, Kubernetes, Android, OpenStack, and cloudfoundry.
You can connect with him on LinkedIn at https://www.linkedin.com/in/rajdeepd.
Manpreet Singh Ghotra has more than 12 years of experience in software development for both enterprise and big data software. He is currently working on developing a machine learning platform using Apache Spark at Salesforce. He has worked on a sentiment analyzer using the Apache stack and machine learning.
He was part of the machine learning group at one of the largest online retailers in the world, working on transit time calculations using Apache Mahout and the R Recommendation system using Apache Mahout.
With a master's and postgraduate degree in machine learning, he has contributed to and worked for the machine learning community.
His GitHub profile is https://github.com/badlogicmanpreet and you can find him on LinkedIn at https://in.linkedin.com/in/msghotra.
Nick Pentreath has a background in financial markets, machine learning, and software development. He has worked at Goldman Sachs Group, Inc., as a research scientist at the online ad targeting start-up, Cognitive Match Limited, London, and led the data science and analytics team at Mxit, Africa's largest social network.
He is a cofounder of Graphflow, a big data and machine learning company focused on user-centric recommendations and customer intelligence. He is passionate about combining commercial focus with machine learning and cutting-edge technology to build intelligent systems that learn from data to add value to the bottom line.
Nick is a member of the Apache Spark Project Management Committee.
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