In this talk you will learn how to use Power BI to prototype/develop a BI solution in days and then evolve it into a fully scalable Azure BI solution.
This is a session for the all of you with short attention spans (like me!) In this session, we will rapid fire tip after tip to help you be a better report author. We'll use the popular Microsoft tools, SSRS and Power BI.
How does Big Data with Hadoop, Cloud Computing in Azure, Self Service BI and “classic” BI with SQL 2016 interact with each other to build a modern enterprise BI architecture at InnoGames? Watch my talk and you will know!
Microsoft Power BI supports custom visuals from the Office Store (store.office.com). In this session I will demonstrate what is needed for starting building your own.
It takes minutes to create and share Power BI reports and users who has relevant Power BI access can do many things in the PBI service. In this session, Prathy will show how having a deployment strategy helps maintaining Power BI service.
In this session, I'm going to show you six amazing tools that must be in your developer/consultant toolbelt. These tools help you develop, manage, monitor and optimize your Tabular model, in other words, it makes your day to day job easier.
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
This session will reveal what's new for Azure Analysis Services in the areas of performance, scalability, advanced calculations, model management, and monitoring.
ETL Development takes time. Allen will show how PowerShell and BIML combine to make the development process seamless, consistent and reduces costly development time dramatically.
In this session we will talk through the process of gathering user requirements to provide a good starting point for your data model. We will use the Sun Modelling technique to aid us in this.
Virtualization has had a major impact on computing. While data professionals have adjusted to this for database servers, many BI workloads have moved there as well. Learn about the impact of virtualization on BI.
These two Microsoft analytic platforms share lots of technologies and users can import and model data in any one of the environments and use the results across both.
Tabular offers only one-to-many relationships on a single column: it seems poor when compared with Multidimensional. However, with DAX, you can handle any relationship. We analyze and solve scenarios with calculated, virtual and complex many-to-many.
The Internet of Things starts with your things. It's a great time to take a look at game changing technologies you can use today to make your IoT ideas stand out from the rest using Microsoft Azure.
R extends statistical and mathematical capabilities of SQL Server 2016.
Data Warehouses are changing. This session will run through the architecture of the modern warehouse, from structured/unstructured Azure Data Lakes to platform as a service Azure Data Warehouse and bringing the two together.
Impress the boss and your colleagues by delivering Dashboards, KPIS, maps and Scorecards wrapped in a tablet-ready interface with SSRS
Information Workers and Data Analysts do “myth busting" on corporate performance and forecasts on regular basis. This session uncovers ways to take advantage of Power BI as Software as a Service (SaaS) for a "myth busting" lab you can try at home!
In this session we will discuss Data Governance around Power BI and on-prem platforms. How to avoid dataset-hell. What are the best practices for sharing queries? Who is the famous Data Steward ?
Explore Power Query features to import data from existing Corporate BI systems.
T4 templating will be a first class citizen in SSDT for SQL Server 2014. This session will show why you should use this technology for SQL code generation and how you can automate the process. The session will be demo rich.
You probably already heard a lot of the wonders of PowerPivot and Power View, but will you have any other cool new BI features with Excel 2013. The answer is a big YES! This session will demo a lot of those.
In this session, you will learn how to combine data from web services, tables and cubes to build a powerful model, and visualise it in Excel.
The Microsoft BI stack has a number of tools for data visualization - Excel, Power View, native Reporting Services, and Performance Point. Come see each visualization applied to the new tabular model in Analysis Services.
<<12>>