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    A&T Systems AWS Data Lake Discovery & Assessment

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    To review Customers business goals, expected outcomes and success metrics for a Data Lake implementation
    Listing Thumbnail

    A&T Systems AWS Data Lake Discovery & Assessment

     Info

    Overview

    • A phased approach help identify key business outcomes and provide the ability to pivot based on business needs.
    • Enable the business to leverage various computing options on the same data on S3.
    • Decouple compute from storage to enable scalability without the burden of additional cost.
    • Increase elasticity without increasing licensing burden.
    • Increase the speed at which new data can be added to the platform and provisioned to end users.
    • Repeatable Framework for different data ingestion with the goal of low to zero data ingestion engineering.
    • Encryption and Tokenization for PII and Sensitive information.
    • Provide the ability for self-service to the data lake leveraging a searchable catalog.
    • Provide the ability for integration into an MDM hub.
    • Logging/Monitoring for ability to audit actions in the application.

    Highlights

    • A phased approach help identify key business outcomes and provide the ability to pivot based on business needs
    • Enable the business to leverage various computing options on the same data on S3

    Details

    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    This is a Six (6) Weeks engagement for the Data Lake Assessment, Including high level Data Lake architecture and Business Outcome driven Data Lake strategy, high level architecture including migration/implementation roadmap.

    **Roadmap: ***

    • Identified use cases for the Data Lake
    • Fill out the Data Lake Assessment pre engagement document
    • Current state data architecture
    • Identified data sources with data classification
    • Customer team availability:
    • Data Architect ~5 hrs./week
    • Data Engineer ~5 hrs./week
    • Security Engineer ~2 hrs./week
    • Infrastructure Engineer ~2hrs./week

    Please contact A&T Systems Cloud division - sales@ats.com , or 240-705-7830