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 available in previous editions substantially. 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.
I am proud to introduce my second course I authored for Pluralsight - Indexing, Querying and Analyzing Text with SQL Server 2012-2014. You can learn how to get the most out of your texts with SQL Server tools. Enjoy!
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About Dejan Sarka
Dejan Sarka, MCT and SQL Server MVP, is an independent consultant, trainer, and developer focusing on database & business intelligence applications. His specialties are advanced topics like data modeling, data mining, and data quality. On these toughest topics, he works and researches together with SolidQ and The Data Quality Institute. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or coauthor of thirteen books about databases and SQL Server. Dejan Sarka also developed and is developing many courses and seminars for SolidQ, Microsoft and Pluralsight. He is a regular speaker at many conferences worldwide for more than 15 years, including conferences like Microsoft TechEd, PASS Summit and others.