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Schedule a quick, no-strings-attached chat with a solution architect to learn how you can build peformant and scalable cloud architecture with no-code data lake engineering.

  • Cloud data lake best practices and how to automate them: partitioning, compression, compaction
  • Performing joins between streaming data sources in-flight (such as impressions and clicks)
  • What is no-code data lake engineering versus solutions based on Apache Spark coding
  • Upserts and change-data-capture on your data lake
  • How to improve query performance in Athena by up to 400%

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Upsolver powers data lakes for data-intensive companies