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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 episode I give you introduction 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. In a short demo I will show you What is Data Lake Storage and how it works and why is it called Gen2? What does it mean being designed for big data analytical workloads? How does multi-protocol access work? What are key differences between ADLS and Blob Storage? Quick demo of creating ADLS in portal Quick demo of connecting from Power BI and using multi-protocol access How to use storage explorer with ADLS How do Access Control Lists work and how to manage them Demo with Databricks and ADLS Sample code from demo: https://github.com/MarczakIO/azure4ev... Next steps for you after watching the video 1. Azure Data Lake Storage documentation https://docs.microsoft.com/en-us/azur... 2. Transform data using Databricks and ADLS demo tutorial https://docs.microsoft.com/en-us/azur... 3. More on multi-protocol access https://docs.microsoft.com/en-us/azur... 4. Read more on ACL https://docs.microsoft.com/en-us/azur... Want to connect? Blog https://marczak.io/ Twitter / marczakio Facebook / marczakio LinkedIn / adam-marczak Site https://azure4everyone.com