„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.
A little bit of knowledge about how SQL Server works can go a long way towards making large data engineering queries run faster.
Before doing any analysis, you have to prepare the data properly.
If you are a DBA and want to get started with Data Science, then this session is for you. This demo-packed session will show you an end-to-end Data Science project covering the core technologies in Microsoft Data + AI stack.
Hierarchies and graphs are the bread and butter of most business applications. SQL Server 2017 comes now with a different approach: Graph Database. You will learn best practices, have fun and will leave with handy scripts.
Text analysis of financial documents using R & Power BI.
Learn the basic knowledge to use the R language in Power BI as source, transformation or visualization
Industry independent analysts say “Pyramid Analytics is essentially the best-in-class, on-premises offering for Microsoft BI today and tomorrow” What does this mean for you and PowerBI?
Learn how to use this fantastic package in R for high-speed, low-code table wrangling.
SQL Server vNext R Services and the new MicrosoftML package
As we have always seen a steady growth in SSRS since 2005, we now have much more advanced brand new features in 2016 SQL Server Reporting Services, beyond our imagination and in particular using Revolution R Models.
Learn how to configure SQL Server 2016 for running R. The individual components and executables installed with R on SQL Server will be explored to understand the internal interactions and processes involved.
In this talk Laura will go through the theory and practice of time series analysis with examples in R covering concepts such as lag, serial correlation and Box-Ljeung tests.
There's base R, modern R, the Hadleyverse, R in SQL, and more - understanding where to begin can be an exercise in frustration and cost you valuable time. This session takes you through the R you need to be productive quickly.
With R in SQL Server 2016, data engineers (DBAs, developers) are expanding their horizons and deriving more value for the business from their data. Come see how this is brining people in business together.
Come to this session to learn how to turn your existing applications into intelligent applications using the R integration into the SQL Server engine.
This sessions covers the SQL Server 2016 Hero Features and you will see a real customer scenario demo showcasing the Full Lifecycle of Financial Data.
This session looks at building time series analysis with AzureML in R
R extends statistical and mathematical capabilities of SQL Server 2016.
In this session, we will look at Predictive Analytics using SQL Server 2016 and R, using our boozy day at the Guinness factory as a backdrop to understanding why statistical learning is important for analytics today. Drinking Guinness is optional!
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