SQL Server 2017 Machine Learning Services with R

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About the authors

Tomaž Kaštrun is a SQL Server developer and data scientist with more than 15 years of experience in the fields of business warehousing, development, ETL, database administration, and query tuning. He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning. He is a Microsoft SQL Server MVP for data platform and has been working with Microsoft SQL Server since version 2000. He is a blogger, author of many articles, a frequent speaker at the community and Microsoft events. He is an avid coffee drinker who is passionate about fixed gear bikes.

I would firstly like to thank my dear friend and co-author, Julie Koesmarno, for making this book a pleasing journey. It was also a great pleasure to work with Deepti Thore and Nilesh Sawakhande. Special thanks to my daughter, Rubi Kaštrun, for your patience while writing this book and your inspiration. Thanks to my family's support. Thanks to the SQL Server community and friends, for kindling my curiosity with all the questions.

Julie Koesmarno is a senior program manager in the Database Systems Business Analytics team, at Microsoft. Currently, she leads big data analytics initiatives, driving business growth and customer success for SQL Server and Azure Data businesses. She has over 10 years of experience in data management, data warehousing, and analytics for multimillion-dollar businesses as a SQL Server developer, a system analyst, and a consultant prior to joining Microsoft. She is passionate about empowering data professionals to drive impacts for customer success and business through insights.

Special thanks to my coauthor, Tomaž Kaštrun, for his expertise, passion, and dedication to this book and to the Data Community—it has been a dream and a goal to work with him. Thanks to our editors and the team at Packt Publishing for their professionalism. Also, thanks to my husband for his support throughout this writing journey, as well as to my inspiring friend, Hamish Watson, for sharing his CI/CD best practices with me.