Enterprise data lake scalability and integration

Question

Hi friends, enterprise data lake design and architecture is complicated and needs too many things to be considered. How to plan a Data lake that is highly scalable to large volumes of data, the performance should also be high level. Please help .

Answer 1

Hello Anshal,

Greetings! Welcome to Microsoft Q&A Forum.

Adding to above information, you can consider the below several best practices to create a highly scalable and performant data lake using Azure Data Lake Storage Gen2.

• A data lake is a storage repository that holds a large amount of data in its native, raw format. Unlike traditional data warehouses, data lakes store everything untransformed, allowing users to explore and query the data flexibly. Azure Data Lake Storage Gen2 is a set of capabilities supporting high-throughput analytic workloads. It combines object storage with a hierarchical namespace for efficient data access. Components: A complete data lake solution includes both storage and processing components. Data Lake Storage: Designed for fault-tolerance, infinite scalability, and high-throughput data ingestion. Data Lake Processing: Involves processing engines optimized for scale.
• Hierarchical Namespace: Leverage the hierarchical namespace feature to organize data into directories and nested subdirectories. This improves data access efficiency and management.
• Consider choosing the Right Storage Account Type, Premium block blob storage account if you need low consistent latency and high I/O operations per second (IOP). Premium accounts store data on solid-state drives (SSDs) optimized for low latency and high throughput.
• Implement fine-grained access controls using Azure RBAC, Encrypt data at rest and in transit.
  Hyperscale Repository: ADLS Gen2 is enterprise-ready, offering Hadoop-compatible access, fine-grained access controls, and native Azure Active Directory (AAD) integration.
• Monitoring and Optimization: Continuously monitor performance, query patterns, and resource utilization. Optimize slow-running queries and minimize data scanning.
  Performance Optimization: Follow best practices to optimize performance, reduce costs, and secure your ADLS Gen2 account.

refer - https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction,https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-best-practices,https://learn.microsoft.com/en-us/azure/architecture/data-guide/scenarios/data-lake ,https://www.unifieddatascience.com/data-lake-design-patterns-on-azure-microsoft-cloudfor more detailed guidance.

Hope this answer helps! Please let us know if you have any further queries. I’m happy to assist you further.

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Answer 2

Hi Anshal,

I would recommend reading about ADLS Gen2:

Introduction to Azure Data Lake Storage Gen2

https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction

Azure Data Lake Storage Gen2 refers to the current implementation of Azure's Data Lake Storage solution. The previous implementation, Azure Data Lake Storage Gen1 will be retired on February 29, 2024.

Unlike Data Lake Storage Gen1, Data Lake Storage Gen2 isn't a dedicated service or account type. Instead, it's implemented as a set of capabilities that you use with the Blob Storage service of your Azure Storage account. You can unlock these capabilities by enabling the hierarchical namespace setting.

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