SQLBits 2015

Analysing Text with SQL Server 2014

This session introduces SQL Server 2012 and 2014 text mining capabilities.

Text mining is 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 understanding the meaning of documents. The Term Extraction and Term Lookup components from SQL Server Integration Services also help with text analysis. However, the question arises: is all this enough? This presentation unveils the good and the bad side of text mining with the tools mentioned.

Dejan Sarka's previous sessions

Statistical Analysis in T-SQL

Learn how to analyze your data with pure T-SQL to get the performance you cannot reach with R, Python, or other tools. Learn the math behind as well.

Data Overview and Manipulation - T-SQL, R, Python

Before doing any analysis, you have to prepare the data properly.

Temporal Data in SQL Server

Use temporal support in SQL Server and add what is missing out of the box.

Analysing Text with SQL Server 2014

This session introduces SQL Server 2012 and 2014 text mining capabilities.

Optimizing Temporal Queries

Writing efficient queries with temporal predicates is finally not a problem anymore.

Excel 2013 Analytics

Excel is “The” analytical tool in Microsoft suite for advanced analysts. This session introduces Excel 2013 and 2010 business intelligence capabilities.

A Deep Dive in SQL Server 2012 Data Warehousing

In this session, we are going to explain and test different DW features in SQL Server 2012, including star join optimization through bitmap filters, table partitioning, window functions, columnstore indices and more.