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    Cybage Move to Managed Analytics Modernization Service

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    Modernize legacy analytics, data lakes, data warehouses, ETL pipelines, and reporting platforms using AWS managed analytics services such as Amazon Redshift, AWS Glue, Athena, Kinesis, EMR, MSK, and Q

    Overview

    Cybage Move to Managed Analytics Modernization Service helps enterprises transform fragmented, costly, and manually operated analytics environments into scalable, governed, cost-optimized analytics platforms on AWS.

    This service is designed for organizations relying on legacy data warehouses, on-premises ETL tools, disconnected reporting systems, batch-heavy pipelines, and limited self-service analytics. Cybage evaluates current data platforms, reporting needs, data volume, data sources, pipeline architecture, governance maturity, and performance requirements to build a tailored modernization roadmap.

    Core Capabilities:

    • Analytics modernization assessment
    • Data lake and lakehouse implementation
    • Data warehouse modernization (including migration to Amazon Redshift and Redshift Serverless)
    • ETL to ELT transformation using AWS Glue
    • Real-time streaming analytics with Amazon Kinesis and Amazon MSK
    • BI and reporting modernization with Amazon QuickSight
    • Data catalog implementation and metadata management via AWS Lake Formation
    • Data governance, quality, lineage, and observability
    • Dashboard modernization and DataOps automation
    • Performance and cost optimization

    Representative AWS Services: Amazon S3, AWS Lake Formation, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Redshift Serverless, Amazon EMR, Amazon Kinesis, Amazon MSK, Amazon QuickSight, Amazon OpenSearch Service, Amazon AppFlow, Amazon MWAA, AWS Lambda, AWS Step Functions, and Amazon CloudWatch.

    Business Outcomes:

    • Faster time to insight with modern analytics pipelines
    • Lower analytics platform overhead and reduced complexity
    • Improved data governance and compliance posture
    • Better reporting performance across the organization
    • Real-time decision support through streaming analytics
    • Reduced total cost of ownership for data platforms

    This professional services engagement supports batch, streaming, BI, and self-service analytics use cases, enabling enterprises to unlock the full potential of their data assets on AWS.

    Highlights

    • Move from legacy reporting and warehouse platforms to fully managed AWS analytics services including Redshift, Glue, Athena, and QuickSight.
    • Enable governed, scalable, and cost-optimized enterprise analytics with data lake, lakehouse, and DataOps automation capabilities.
    • Support batch, streaming, BI, and self-service analytics use cases with real-time decision support and improved data governance.

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

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    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.

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    Support

    Vendor support

    For support and inquiries regarding the Cybage Move to Managed Analytics Modernization Service, please contact the Cybage team at business@cybage.com . Additional information about Cybage and their services is available at