How BI Leaders Deliver Winning Insights without Engineers

Many BI projects suffer from competing priorities, slow onboarding of new datasets, and limited engineering resources.

To overcome these roadblocks, BI teams are taking ownership of the data pipelines responsible for delivering business critical data to analysts.

While engineers still manage the source systems, BI teams are now responsible for building and maintaining pipelines, applying data management best practices and ensuring data meets a quality bar. Successful BI teams rely on simple to use cloud native tools like Upsolver to build, manage and automate data pipelines on top of an open Iceberg lakehouse.

In this live event, you’ll learn how to:

• Enable a medallion architecture on top of an Iceberg lakehouse 
• Build data pipelines the hard way, from PostgreSQL to Iceberg using Apache Spark
• Launch 0-ETL pipelines using Upsolver from sources like:
  • PostgreSQL
  • SQL Server
  • MongoDB
  • MySQL
• Inspect and monitor your pipeline and table health
• Enable Adaptive Optimizations for your Iceberg lake

Don’t miss this opportunity to learn practical strategies for BI leaders and  take control of your data pipelines and deliver BI and analytics results in no time.