AWS-native transformation for ETL, analytics, Hadoop, and data warehouse - Impetus

AWS-native transformation for ETL, analytics, Hadoop, and data warehouse

Explore different strategies for moving legacy workloads to AWS. Discover automation best practices and expert insights for seamless modernization to AWS.

Address major modernization challenges like:

  • Handling native data warehouse properties at a schema level
  • Auto-transforming code and business workflows to an optimized AWS-equivalent
  • Meeting performance SLAs
  • Identifying technical debt
  • Ensuring end-to-end operationalization in the AWS environment

Read the e-book to learn how automation can help you ensure fast, seamless modernization with lower cost and lower risk.

    Choose a lab aligned to your Data & AI journey

    Address your desired use case across critical analytic dimensions

    • Collaborate with experts on strategic objectives

    • Identify and select core technologies

    • Ensure IP governance and protection

    • Align business outcomes with goals


    • Explore architecture options with experts

    • Ensure alignment of business and technology
    • Architect an ideal solution for a pressing problem


    • Validate or refactor existing architecture
    • Develop a prototype with expert guidance

    • Establish a roadmap to production


    Learn more about how our work can support your enterprise