Using R in SQL Server 2016 Database Engine and SSRS
2016TL; DR
R extends statistical and mathematical capabilities of SQL Server 2016.
Session Details
In SQL Server and Power BI suites, you can find
nearly anything you need for analysing your data. SQL Server 2016 closes one of
the last gaps - support for statistics beyond basic aggregate functions and
support for other mathematical calculations. This is done with support for the
R code inside SQL Server database Engine. This session goes beyond showing the
basics, i.e. how to use R in the Database Engine and Reporting Services
reports; it shows and explains also some advanced statistical and matrix
calculations.
3 things you'll get out of this session
Speakers
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.