See Upsolver in action

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%