2024-11-19 10:37:20

Azure Data Lake Storage

Massively scalable and secure data lake for your high-performance analytics workloads


  • Company Name : Microsoft Azure



  • About Solution :

    Azure Data Lake Storage

     

    Massively scalable and secure data lake for your high-performance analytics workloads

     

    Build a foundation for your analytics

     

    Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection.

     

    Scale to match your most demanding analytics workloads

     

    Meet any capacity requirements and manage data with ease, with the Azure global infrastructure. Run large-scale analytics queries at consistently high performance.

     

    Utilize flexible security mechanisms

     

    Safeguard your data lake with capabilities that span encryption, data access, and network-level control—all designed to help you drive insights more securely.

     

    Build a scalable foundation for your analytics

     

    Ingest data at scale using a wide range of data ingestion tools. Process data using Azure Databricks, Synapse Analytics, or HDInsight. And visualize the data with Microsoft Power BI for transformational insights.

     

    Build cost-effective data lakes

     

    Optimize costs by scaling storage and compute independently—which you can’t do with on-premises data lakes. Tier up or down based on usage, and take advantage of automated lifecycle management policies for optimizing storage costs.

     

     

     

  1. Feature 1 : Limitless scale and 16 9s of data durability with automatic geo-replication
  2. Feature 2 : Highly secure with flexible mechanisms for protection across data access, encryption, and network-level control
  3. Feature 3 : Single storage platform for ingestion, processing, and visualization that supports the most common analytics frameworks
  1. USP 1 : Cost optimization via independent scaling of storage and compute, lifecycle policy management, and object-level tiering
  1. Price 1 : 0.0169 per GB
  2. Price 2 : 0.0184 per GB
  3. Price 3 : 0.185 per GB
  1. Feedback 1 : "Fastest and Reliable Advanced Data Service"
  2. Feedback 2 : "Good in maintaining any historical or huge data in any format"
  3. Feedback 3 : "Azure Data Lake: the future of cloud data storage"
  1. Story 1 : With Azure, we now have the capability to rapidly drive value from our data. The actionable insights from the data models we’re creating will help us increase revenue, reduce costs, and minimize risk. Ahmed Adnani: Director of Applications and Analytics Smiths Group
  2. Story 2 : Ultimately, we expect our Azure environment to provide the same data security our internal translation portal has offered thus far.

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