Title | : | Azure Data Lake Storage (Gen 2) Tutorial | Best storage solution for big data analytics in Azure |
Duration | : | 24:25 |
Viewed | : | 223,271 |
Published | : | 12-12-2019 |
Source | : | Youtube |
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/azure4everyone-samples/tree/master/azure-data-lake-storage-gen2-introduction 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?WT.mc_id=AZ-MVP-5003556 2. Transform data using Databricks and ADLS demo tutorial - https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-extract-load-sql-data-warehouse?WT.mc_id=AZ-MVP-5003556 3. More on multi-protocol access - https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-multi-protocol-access?WT.mc_id=AZ-MVP-5003556 4. Read more on ACL - https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-access-control?WT.mc_id=AZ-MVP-5003556 ### Want to connect? - Blog https://marczak.io/ - Twitter https://twitter.com/MarczakIO - Facebook https://www.facebook.com/MarczakIO - LinkedIn https://www.linkedin.com/in/adam-marczak/ - Site https://azure4everyone.com
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