A walk-through on what is possible analyzing your data with the "R" language.
Ever wondered how you can add the power of ML to your existing SQL estate without the need to invest in new services? Come to this session to learn about running Python and R workloads in SQL, the PREDICT function, and how to operationalise models in Azure SQL Database
„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.
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
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.
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.
R extends statistical and mathematical capabilities of SQL Server 2016.
R was originally for doing stats, but it now does database CRUD, reporting, documentation, and even websites. It can be awkward to know where to start, so this session fast tracks you to the sections you need to know about.