الكتاب الالكتروني PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO ، تحميل الكتاب الالكتروني PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO ، الكتاب الالكتروني PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO ، الكتاب الالكتروني PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO على أكثر من سيرفر ، الكتاب الالكتروني PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO pdf
PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO
Released: 2014.02.10 | Author: Dejan Sarka | Size: 565 MB
Genre(s): E-Learning
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.
تحميل الكتاب الالكتروني
PLURALSIGHT - INDEXING QUERYING AND ANALYZING TEXT WITH SQL SERVER 2012 AND 2014 TUTORIAL-kEISO
Released: 2014.02.10 | Author: Dejan Sarka | Size: 565 MB
Genre(s): E-Learning
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.
تحميل الكتاب الالكتروني