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Titlebook: Unconventional Warfare from Antiquity to the Present Day; Brian Hughes,Fergus Robson Book 2017 The Editor(s) (if applicable) and The Autho

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41#
發(fā)表于 2025-3-28 18:08:44 | 只看該作者
42#
發(fā)表于 2025-3-28 18:59:25 | 只看該作者
e a natural interface between humans and computers. These systems are of special interest for interactive applications, and they integrate several technologies including speech recognition, natural language understanding, dialog management and speech synthesis. ..Due to the conjunction of several fa
43#
發(fā)表于 2025-3-29 01:27:15 | 只看該作者
Rapha?lle Brancheow how to?solve common problems encountered when developing data integration solutions.?Because you do not have to build the code from scratch each time, using design patterns improves your efficiency as an SSIS developer. In .SSIS Design Patterns., we take you through several of these snippets in d
44#
發(fā)表于 2025-3-29 06:52:55 | 只看該作者
45#
發(fā)表于 2025-3-29 10:38:17 | 只看該作者
Brian Hughesse applications.Helps database administrators ensure their a.Get a fast start tousing .AlwaysOn., the SQL Server solution to high-availability anddisaster recovery. Read this short, 150-page book that is adapted from PeterCarter’s .Pro SQL Server Administration.?to gain a solid and accurateunderstan
46#
發(fā)表于 2025-3-29 12:39:38 | 只看該作者
47#
發(fā)表于 2025-3-29 16:42:03 | 只看該作者
48#
發(fā)表于 2025-3-29 23:45:12 | 只看該作者
Fergus RobsonSSIS). Design patterns in the book help to solve common problems encountered when developing data integration solutions. The patterns and solution examples in the book increase your efficiency as an SSIS developer, because you do not have to design and code from scratch with each new problem you fac
49#
發(fā)表于 2025-3-30 00:51:46 | 只看該作者
Tim Piceus book .SQL Server Query Performance Tuning. is the answer to your SQL Server query performance problems. The book is revised to cover the very latest in performance optimization features and techniques, especially including the newly-added, in-memory database features formerly known under the code
50#
發(fā)表于 2025-3-30 06:29:51 | 只看該作者
Alastair J. Macdonaldorks with memory-resident data. Current OLTP workloads, which read the pages from disk, need to take and release locks and latches, and they need to wait for log writes to be performed. In-Memory OLTP was designed for high concurrency with no blocking, which leads to In-Memory OLTP having tremendous
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