A walk-through on what is possible analyzing your data with the "R" language.
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
Organisations need to know how to get started with Artificial Intelligence. This practical session offers organizations, small and large, with a helping hand in practical advice and demos using Microsoft Azure with Open Source technologies.
„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
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.
Azure Machine Learning is a fully managed cloud service for predictive analytics. In this 1hour session, we will run through; ML Studio,using data, Creating and running Experiments, visualising results, R , publishing and using experiments.
When it comes to analyzing data, the R statistical language come readily to mind. Python is yet another one of your secret power tool for SQL Server, data analysis and business intelligence. In this session, we will look at both Python and R.
RMan and Reporting Girl join forces to fight the crimes in data visualization. By building a common ground (based on the IBCS standards) they improve their weapons (R and SSRS) that help them in their fight.
Need a snazzy dashboarding tool, and want it free or cheap? With a modicum of R and Linux knowledge, you can make interactive realtime dashboards for free that can be used in any web browser. Learn how in this session.
In this intensive one hour session, learn how to analyse and visualise your data using the Data Analysts Toolkit - Microsoft Power BI complemented with R
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.
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