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Handling billions of rows in Spark

4 minutes read

case-study
ClientNDA
IndustryRetail

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  1. Higher availability: reducing waiting time from several hours to a matter of seconds.
  2. Increased availability of the table, allowing users to perform their daily work activities more efficiently.
  3. Adoption of state-of-the-art data processing methods, resulting in proper data handling and management.
  4. Our solution is universal and easily adaptable, ensuring our client can apply the same approach to their future processing tasks.