Big Data Storage in Microsoft Azure


Azure storage is a Microsoft solution designed to store your data on it with different models (Blobs, Tables, Queue, File Shares, and Disks) to know the differences, usage, High Availability and the architecture for Azure storage I highly recommend you to check this path you will find a lot of tips and articles About Azure storage subject.

Now let us take a look about storage technology when we talk about Big data, what is the best option for our data and how I can choose the best option, based on what so let us think from architecture and design point of view.

Microsoft provided a variety of options to store your big data on it based on your requirements and based on the data type, in this article we will discuss 4 options that can be used as Azure storage solution for big data.

  • Azure Storage Blobs
  • Azure Data Lake Store
  • Azure Cosmos DB
  • Azure HBase on HDInsight
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Provisioning a Gen 2 Azure Data Lake


Gen 2 Azure Data Lake It is Microsoft Service designed for big data processing, and it is a combination between azure storage feature and Azure Gen1 Data lake and Microsoft recommend to use GEN2 for X of reasons (Performance, Management, and Security) Azure Gen2 Data Lake is the addition of a hierarchical namespace  , So Gen2 Azure Data Lake is designed for managing and storing a very big large amount of data petabytes. For more information about Gen2 Azure Data Lake Check Microsoft documentation

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