Guy in a Cube goes live with Melissa Coates as she shares some knowledge about Power BI deployment and governance followed by Q&A.
Azure Data Factory is an amazingly powerful tool that can accomplish just about every ETL/ELT task.
In this video, Frank Liu shows how to use the Get Metadata activity to get a list of file names.
Guy in a Cube shows us how the smart narrative visual can help tell the story in your Power BI report.
Justyna Lucznik joins us to explore the visual and to illustrate how you can generate text about your data.
Guy in a Cube’s Patrick revisits the Power BI Date Picker and he takes it to the NEXT LEVEL!
Chris Seferlis discusses one of the lesser known and newer Data Services in Azure, Data Explorer.
If you’re looking to run extremely fast queries over large sets of log and IoT data, this may be the right tool for you. I also discuss where it’s not a replacement for Azure Synapse or Azure Databricks, but works nicely alongside them in the overall architecture of the Azure Data Platform.
In BlueGranite’s recent webinar, you will see several examples of Python in action for data modeling and visualization in Power BI. You will also learn where and how Python fits into a Power BI development workflow.
You’ll also see how to balance Python with native Power BI functionality and determine what limitations must be considered when using Python in Power BI.
Confused about what a Power BI Gateway cluster is? Have your On-Premises Data Gateway installed but it’s overloaded?
Then this video is for you!
In this video, get answers to questions like: Why should you care about the data model? What kind of relations are available? How do they influence performance? Why redundancy is (not) a bad thing? Don’t just tell your friends that you’re a professional who works with models, but be great in doing it.
Data Lake Storage Gen 2 is the best storage solution for big data analytics in Azure. With its Hadoop compatible access, it is a perfect fit for existing platforms like Databricks, Cloudera, Hortonworks, Hadoop, HDInsight and many more. Take advantage of both blob storage and data lake in one service!
In this video, Azure 4 Everyone introduces to what Azure Data Lake Storage is, how it works and how can you leverage it in your big data workloads. I will also explain the differences between Blob and ADLS.
Sample code from demo: https://pastebin.com/ee7ULpwx
Next steps for you after watching the video
1. Azure Data Lake Storage documentation
2. Transform data using Databricks and ADLS demo tutorial
3. More on multi-protocol access
4. Read more on ACL