Dremio is a popular self-service analytics platform for data lakes and warehouses. Combining Dremio with ingestion and transformation on the data lake using Upsolver creates a powerful pipeline.
This short interactive demo will walk you through the steps involved in populating Dremio with data from AWS S3 buckets via Upsolver. After you select your datasource(s), Upsolver determines and generates a schema for you automatically, inferring field names, types and statistics to assist data modeling. An added benefit in this process is the ease with which Upsolver can flatten nested data and provide organized output to Dremio. Once the connection is established, Upsolver continually updates the Dremio output.