Gerhard Brueckl
Cloud Data Platform Architect
Wolkersdorf im Weinviertel, Austria
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Gerhard has been implementing traditional BI and data warehouse solutions based on the Microsoft Data Platform for over 10 years and has been sharing his knowledge with the community ever since. With the rise of "Big Data" over the last years he also shifted his interests towards new technologies, mainly related to the Hadoop eco system to fight the masses of data he frequently encounters at his customers. Having this strong background with the Microsoft Data Platform, he always tries to combine this "old" and the "new" world which still have a lot of things in common!
Area of Expertise
Topics
Fabric & Databricks - better together
When building an Analytical Platform in Azure, you can choose between Azure Databricks and Microsoft Fabric. However, both of them have their specific strengths and you might want or need to use both of them. In this session we will cover how the two technologies can work to together to get the best of both worlds
Showcasing Fabric Studio
In this session I will give you an introduction to the Visual Studio Code extension "Fabric Studio" which allows you to manage your Fabric environment directly from within VSCode. Leveraging the Fabric REST APIs you can easily browse through Fabric items and run various tasks. For not so common API calls there is also the ability to user VSCode notebooks offering intelli-sense and auto-complete from all existing API calls. It further allows you to modify existing items like semantic models, notebooks, pipelines, etc. in the VSCode IDE and publish your changes back to the Fabric service. It also features a OneLake browser to inspect the output of your operations.
Showcasing Power BI Studio
In this session I will give you an introduction to the Visual Studio Code extension "Power BI Studio" which allows you to manage your Power BI environment directly from within VSCode. Leveraging the Power BI REST APIs you can easily navigate through your tenant and execute common actions like refreshing a dataset or monitoring refreshes from a nice UI without having to open your browser. For not so common API calls there is also the ability to user VSCode notebooks offering intelli-sense and auto-complete from all existing API calls.
Databricks for the SQL Developer
Big Data and SQL do not have a lot in common. However, over the last couple of years this changed, and more and more people want to integrate the data from their Big Data systems into their SQL data warehouses. The most important technologies in the Big Data space are Spark as a technology itself and Databricks as a PaaS solution hosting it. These new tools may be frightening in the beginning but once you get to know them you will realize that they are quite similar to your regular SQL tools. And this is what this session is about - giving a regular SQL developer insight into Big Data and show how SQL can still be used to do Big Data processing with Spark and Databricks.
DataMinutes #2 Sessionize Event
PASS Data Community Summit 2021 Sessionize Event
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