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: [ Ссылка ]

Next steps for you after watching the video
1. Azure Data Lake Storage documentation
- [ Ссылка ]
2. Transform data using Databricks and ADLS demo tutorial
- [ Ссылка ]
3. More on multi-protocol access
- [ Ссылка ]
4. Read more on ACL
- [ Ссылка ]

### Want to connect?
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