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![SQL Server Internals: In-Memory Oltp: Inside the SQL Server 2016 Hekaton Engine by Kalen Delaney](https://rwszupzmsadbjqghhiwjxwntmpecjm.thestorygraph.com/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBK3VOeVE9PSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--4bd8c0312778cd792fe38f52e807011be61537df/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RkhKbGMybDZaVjkwYjE5c2FXMXBkRnNIYVFJc0FXa0M5QUU9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--038335c90cf75c275ae4d36968ac417dc4a0a3e3/SQL%20Server%20Internals-%20In-Memory%20Oltp-%20Inside%20the%20SQL%20Server%202016%20Hekaton%20Engine.jpg)
204 pages • missing pub info (editions)
ISBN/UID: 9781910035207
Format: Paperback
Language: English
Publisher: Red Gate Books
Publication date: 16 October 2017
Description
The SQL Server 2016 In-Memory OLTP engine (a.k.a. Hekaton) is designed to exploit terabytes of available memory and high numbers of processing cores. It allows us to work with memory-optimized tables and indexes, and natively compiled stored proce...
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![SQL Server Internals: In-Memory Oltp: Inside the SQL Server 2016 Hekaton Engine by Kalen Delaney](https://rwszupzmsadbjqghhiwjxwntmpecjm.thestorygraph.com/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBK3VOeVE9PSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--4bd8c0312778cd792fe38f52e807011be61537df/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBTU0lJYW5CbkJqb0dSVlE2RkhKbGMybDZaVjkwYjE5c2FXMXBkRnNIYVFJc0FXa0M5QUU9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--038335c90cf75c275ae4d36968ac417dc4a0a3e3/SQL%20Server%20Internals-%20In-Memory%20Oltp-%20Inside%20the%20SQL%20Server%202016%20Hekaton%20Engine.jpg)
204 pages • missing pub info (editions)
ISBN/UID: 9781910035207
Format: Paperback
Language: English
Publisher: Red Gate Books
Publication date: 16 October 2017
Description
The SQL Server 2016 In-Memory OLTP engine (a.k.a. Hekaton) is designed to exploit terabytes of available memory and high numbers of processing cores. It allows us to work with memory-optimized tables and indexes, and natively compiled stored proce...