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%