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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 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
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
2. Transform data using Databricks and ADLS demo tutorial
– https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-extract-load-sql-data-warehouse
3. More on multi-protocol access
– https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-multi-protocol-access
4. Read more on ACL
– https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control

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