Using Data Mesh to Advance Distributed Data Access, Agility and Governance
Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.read more
Apache Superset is an open source BI platform built for modern data teams. Originally created by Max Beauchemin (who also created Apache Airflow), Superset embraces open standards to speak to nearly any SQL speaking data engine and support all viz types.Superset has two key workflows, designed to support all personas in an organization. SQL-savvy analysts can tap into SQL Lab, a browser-based SQL IDE to explore and sculpt data. Stakeholders can use Explore, a no-code viz builder that generates SQL for you.In this talk, I’ll showcase how both workflows empower end users to visualize data from Dremio in Superset.
“Robert is an interdisciplinary data engineer and developer advocate at Preset, the company behind the open-source visualization software Apache Superset. He has developed the open-source software behind a number of scientific breakthroughs in computational biology and has co-authored work in Nature, PNAS, and other leading interdisciplinary journals.
As a data engineer, Robert is way into real-time and streaming data systems as well as their applications.”
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.read more