Enhancing Data Interoperability with AtScale and Databricks

In this episode of the Data Driven Podcast, Dave Mariani, CTO and Co-Founder of AtScale, engages in a compelling conversation with Dale Williamson, exploring the pivotal role of data interoperability in modern analytics. They delve into how integrating AtScale's semantic layer with Databricks can streamline data workflows, enhance analytics performance, and promote seamless collaboration across diverse data environments.​ YouTube Discover the challenges organizations face with data silos and how AtScale's approach facilitates a unified view of data, enabling more accurate and timely business insights. Learn about the benefits of combining Databricks' powerful data processing capabilities with AtScale's semantic layer to achieve governed self-service analytics and improved decision-making processes.​ Whether you're a data engineer, analyst, or business leader, this discussion provides valuable insights into achieving data interoperability and maximizing the value of your data assets. Learn more about the Databricks + AtScale partnership: https://www.atscale.com/blog/databricks-data-intelligence-week/ Learn more about the open-sourced semantic modeling language: https://github.com/semanticdatalayer/SML Learn more about AtScale: Website: https://www.atscale.com/ LinkedIn: https://www.linkedin.com/company/atscale-inc- GitHub: https://github.com/AtScaleInc