Create Azure Data Lake Storage Gen2 for Scalable Data Storage

Creating Azure Data Lake Storage Gen2 is a straightforward process that requires a few simple steps.

First, you'll need to create a new storage account in the Azure portal. This will be the foundation for your Data Lake Storage Gen2.

To do this, navigate to the Azure portal and click on "Create a resource" in the top left corner. From there, select "Storage account" and follow the prompts to create a new account.

Data Lake Storage Gen2 is built on top of Azure Blob Storage, which provides a scalable and durable storage solution for your data.

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To create Azure Data Lake Storage Gen2, you'll need to start by setting up the necessary prerequisites.

Create a new Azure Active Directory application for Data Collector. This is a crucial step, and you can find more information about creating a new application in the Azure documentation.

Ensure the Azure Active Directory Data Collector application has the right access control to perform the tasks it needs to do. If you're writing data to Azure, the application requires Write and Execute permissions. If you're also reading from Azure, you'll need to add Read permission as well.

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Create an Azure Data Lake Storage Gen2 storage account if you don't already have one. This will be the foundation for your storage needs. For information on creating an account, see the Azure documentation.

You'll also need to create the storage where the destination will write data. Azure Data Lake Storage Gen2 refers to storage as both a file system and a container. You can find more information about creating a container in the Azure documentation.

Finally, retrieve information from Azure to configure the destination. This will help you set up the connection properly.

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To configure a destination for your Azure Data Lake Storage Gen2, you'll first need to complete the necessary prerequisites. Be sure to do this before proceeding.

Azure Data Lake Storage Gen2 can be connected to using external tables, which allows Azure SQL database (Synapse Analytics) to access the contents of your data lake.

You can also use the data explorer to query your Azure data lake store, giving you a way to explore and understand your data.

If your data lake is empty, you can use automated code-free data pipelines that follow industry and Azure data lake best practices, and write data to Azure Data Lake Storage Gen2 using open-source Apache Parquet.

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Azure Data Lake Storage Gen2 is a collection of capabilities for big data analytics built on Azure Blob storage, offering all the key features of ADLS Gen1.

ADLS Gen2 offers capabilities like Hadoop suitable access, POSIX permissions, low-cost transactions and storage capacity, and an optimized driver for big data analytics.

To get started with Azure Data Lake Storage Gen2, you'll need to create an Azure Active Directory application with the necessary permissions, create an ADLS Gen2 storage account, and set up access control.

Here are the key features of Data Lake Storage Gen2:

Before you start working with Azure Data Lake Storage Gen2, there are a few prerequisites you need to take care of.

First, you'll need to create a new Azure Active Directory application for Data Collector. This can be done by following the instructions in the Azure documentation.

To ensure your application has the necessary permissions, you'll need to configure Gen2 access control. If you're writing data to Azure, your application requires Write and Execute permissions. If you're also reading from Azure, you'll need to add Read permission as well.

Create an Azure Data Lake Storage Gen2 storage account if you don't already have one. You can find instructions for doing this in the Azure documentation.

You'll also need to create a storage container where your destination will write data. Azure Data Lake Storage Gen2 refers to this as both a file system and a container.

Finally, you'll need to retrieve information from Azure to configure your destination.

Here are the specific permissions your Data Collector application needs:

Azure Data Lake Storage Gen2 is a powerful tool for big data analytics. It's built on Azure Blob storage and offers all the key features of its predecessor, ADLS Gen1.

ADLS Gen2 allows you to access and manage data just as you would with a Hadoop Distributed File System (HDFS). This means you can store and process data of any size or type, including structured and unstructured data.

One of the key benefits of ADLS Gen2 is its low cost. It offers low-cost transactions and storage capacity, making it a great option for businesses looking to analyze large amounts of data without breaking the bank.

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ADLS Gen2 also supports POSIX permissions, which provide additional security and control over your data. This is especially useful if you're working with sensitive or regulated data.

Here are some of the key features of ADLS Gen2:

ADLS Gen2 provides a hierarchical file system that can store data in its native format. This means you can store and process data without having to convert it into a specific format.

Overall, ADLS Gen2 is a powerful and flexible tool for big data analytics. Its low cost, Hadoop suitable access, and POSIX permissions make it a great option for businesses looking to analyze large amounts of data.

Your container is a key part of Azure Data Lake Storage Gen2, where you can store and manage your data.

To create a new container, you'll need to select the storage account you want to use, which can be found under Storage accounts. You'll then need to click on the "Containers" option and add a new container, giving it a name that reflects its usage.

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Make sure to note the difference between the Storage account name and the Container name, as they are not the same thing. For example, the Storage account name might be openbridgelake, while the Container name is datalake. When registering your destination, you must supply the Storage container name, not the Storage account name.

Here's a quick summary of the steps to create a new container:

Remember to keep track of your Container name, as you'll need it later when registering your destination.

Azure Data Lake Storage Gen2 offers several security features, including encryption of data at rest and in transit, integration with Azure Active Directory for authentication and authorization, fine-grained access control, and auditing capabilities to track data access and modifications.

Azure Data Lake Storage Gen2 supports POSIX permissions, which provides a high level of granularity for access control.

ADLS Gen2 also supports ACL permissions, offering even more control over data access.

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Azure Data Lake Storage Gen2 has low-cost transactions and storage capacity, making it an attractive option for big data analytics.

Here are some key features of Data Lake Storage Gen2:

Resource Access Authorization is a crucial step in accessing your Azure storage container. You'll need to navigate to "Access Keys" within your storage account to obtain the necessary credentials.

To get started, take note of the Storage account name and the Connection string. These are essential for activating a destination in Openbridge.

Store your access keys securely, as sharing them over email or any other insecure channel is not recommended. Regenerating your access keys will require updating Openbridge resources and applications that access this storage account.

You'll need the Storage container name and Connection string to interact with resources in the storage account using URIs. Databricks recommends using the abfss driver for greater security.

To access your Azure storage, you'll need to follow these steps:

By following these steps, you'll be able to access your Azure storage container and interact with resources using URIs.

Data Lake storage is priced on a pay-as-you-go basis, with costs varying depending on the amount of data stored.

The first 100 TB of storage is charged at Rs. 2.58 per GB.

For data storage between 100 TB and 1,000 TB, the cost drops to Rs. 2.52 per GB.

If you need to store between 1,000 TB and 5,000 TB, the price per GB is Rs. 2.45.

Here's a breakdown of the costs for different storage tiers: