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 this video Chris Seferlis discusses some of the reasons you might want to choose Azure Data Factory over Azure Synapse Workspaces with Synapse Studio.

Even though many of the features overlap, there are still scenarios where I’d use ADF, and pass on the additional features of Synapse. Let me know your thoughts below, please like, comment, share and follow me on Twitter: @bizdataviz

Adam Marczak explains Azure Data Factory Mapping Data Flow in this video.

With Azure Data Factory Mapping Data Flow, you can create fast and scalable on-demand transformations by using visual user interface. In just minutes you can leverage power of Spark with not a single line of code written.

In this episode I give you introduction to what Mapping Data Flow for Data Factory is and how can it solve your day to day ETL challenges. In a short demo I will consume data from blob storage, transform movie data, aggregate it and save multiple outputs back to blob storage.

Sample code and data: https://github.com/MarczakIO/azure4everyone-samples/tree/master/azure-data-factory-mapping-data-flows 

In this video, Chris Seferlis continues discussing the Modern Data Platform in Azure with Part 3: Data Processing.

Tools Discusssed: