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الكتاب الالكتروني Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video تحميل مباشر
الكتاب الالكتروني Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video ، تحميل الكتاب الالكتروني Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video ، الكتاب الالكتروني Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video ، الكتاب الالكتروني Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video على أكثر من سيرفر ، الكتاب الالكتروني Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video pdf
Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video
MP4 | AVC 325kbps | English | 1024x768 | 15fps | 2h 48mins | AAC stereo 125kbps | 565 MB
Genre: Video Training
It is hard to imagine searching for something on the Web without modern search engines like Bing or Google. However, most contemporary applications still limit users to exact searches only. For end users, even the standard SQL LIKE operator is not powerful enough for approximate searches. In addition, many documents are stored in modern databases; end users would probably like to get powerful search inside document contents as well. Text mining is also becoming more and more popular. Everybody would like to understand data from blogs, Web sites, and social media. Microsoft SQL Server in versions 2012 and 2014 enhances full-text search support that was substantially available in previous editions. Semantic Search, a new component in Full-Text Search, can help you understand the meaning of documents. Finally, the Term Extraction and Term Lookup components from SQL Server Integration Services also helps with text analysis.
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Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014 Training Video
MP4 | AVC 325kbps | English | 1024x768 | 15fps | 2h 48mins | AAC stereo 125kbps | 565 MB
Genre: Video Training
It is hard to imagine searching for something on the Web without modern search engines like Bing or Google. However, most contemporary applications still limit users to exact searches only. For end users, even the standard SQL LIKE operator is not powerful enough for approximate searches. In addition, many documents are stored in modern databases; end users would probably like to get powerful search inside document contents as well. Text mining is also becoming more and more popular. Everybody would like to understand data from blogs, Web sites, and social media. Microsoft SQL Server in versions 2012 and 2014 enhances full-text search support that was substantially available in previous editions. Semantic Search, a new component in Full-Text Search, can help you understand the meaning of documents. Finally, the Term Extraction and Term Lookup components from SQL Server Integration Services also helps with text analysis.
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