30 Minute Upsolver Open Demo

• February 2, 11 AM PT | 2 PM ET

Is hand-crafting data pipelines using Spark and Airflow taking too much of your time? You’re not alone. Orchestration, compaction, table optimization, UPSERTs, scaling – is tedious, manual work.  

Self-orchestrating pipelines built in Upsolver SQLake are the answer. You simply specify connections, tables and transformation jobs in SQL; Upsolver automates the rest.

Join our open demo where our technical experts will show you how to:

• Ingest streaming and batch data at high speed.
• Understand and model your source data using Upsolver’s schema detection and automated data profiling.
• Use SQL to specify connections, tables and transformations, including stateful joins, aggregations, window operations – over 200 functions in all.
• Continuously output live data to query engines, your data warehouse, or other analytics targets.
• Monitor and manage your running pipelines.

Join us to see Upsolver in action. See you there!