Modernizing legacy ETL platforms

Migrate your existing ETL workflows to a modern Spark-based infrastructure with a self-service data analytics platform in 3 easy steps – assessment, conversion, and validation.

Download this white paper to understand how you can seamlessly port your existing ETL workflows to a new environment within the stipulated budget and time without impacting business processes for better performance.

The white paper outlines the following:

  • Challenges of traditional ETL tools
  • Strategies for migrating to a modern ETL platform
  • How to migrate your existing ETL workflows to Spark with StreamAnalytix – a self-service data analytics platform
  • Advantages of migrating workloads to StreamAnalytix
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