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Pluralsight

Indexing, Querying and Analyzing Text with SQL Server 2012-2014

via Pluralsight

Overview

Working with textual data in SQL Server involves indexing, querying and analyzing texts. Improve transactional and analytical applications with Full-Text Search and analyze texts with Semantic Search and Text Mining.

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.

Syllabus

  • Introduction 4mins
  • Creating Full-Text Search Catalogs and Indexes 25mins
  • Queries with Full-Text Search Predicates 31mins
  • Full-Text and Semantic Search Table-Valued Functions 36mins
  • Extracting Terms from Texts 34mins
  • Looking Up for Terms in Texts 37mins

Taught by

Dejan Sarka

Reviews

4.4 rating at Pluralsight based on 79 ratings

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