Modern ETLs can capture, transform, and store data from millions (or billions) of transactions across a wide variety of data sources and streams. This capability provides a wealth of new opportunities: analyzing historical records to optimize the sales process, adjusting prices and inventory in real-time, leveraging ML/AI to create predictive models, developing new revenue streams, moving to the cloud, and more.


Real-time ingestion, data enrichment, the ability to handle billions of transactions, and support for structured or unstructured data from any ...

  • Big Data
  • ETL
  • NiFi
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