In the era of data-driven enterprises, true democratization requires more than just access–it demands context, trust, and governance at scale. In this session, discover how to seamlessly integrate Databricks Unity Catalog with Alation’s Enterprise Data Catalog to deliver: End-to-End Lineage Storytelling: Unify technical and business views into a single, cohesive narrative that resonates with both technical engineers and non-technical stakeholders across business domains Accelerated and Democratized Insights: Automate metadata stitching to reduce time-to-insight, enabling analysts to answer critical business questions faster and drive multi-domain collaboration Empowered, Trustworthy Discovery: Equip business users with a unified platform, populated with rich documentation and usage signals, so they can find, understand, and confidently use trusted data assets

It’s no secret that access to the right data at the right time is critical for data-driven decision making. In fact, as data culture becomes more and more ingrained in the enterprise, business users increasingly demand real-time, actionable data. But, what happens when it takes up to 24 hours to access your point-of-sale data? RaceTrac faced many of these data accessibility challenges as it sought to derive intelligence from its retail transaction data, specifically the data from their stores, information from their fuel purchasing arms, and delivery data for their fleet.

Through a combination of the Databricks Lakehouse and the lineage and self-discovery capabilities of the Alation Data Intelligence Platform, RaceTrac rose to the challenge. Hear from Raghu Jayachandran, Senior Manager of Enterprise Data at RaceTrac, and discover how RaceTrac gained real-time access to their transaction data in Databricks, and uses Alation to provide insight into which data can drive the business insights they needed.

Talk by: Diby Malakar and Raghu Jayachandran

Here’s more to explore: Why the Data Lakehouse Is Your next Data Warehouse: https://dbricks.co/3Pt5unq Lakehouse Fundamentals Training: https://dbricks.co/44ancQs

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin

In this presentation, Matillion’s Sarah Pollitt, Group Product Manager for ETL, will discuss how you can use Matillion to load data from popular data sources such as Salesforce, SAP, and over a hundred out-of-the-box connectors into your data lakehouse. You can quickly transform this data using powerful tools like Matillion or dbt, or your own custom notebooks, to derive valuable insights. She will also explore how you can run streaming pipelines to ensure real-time data processing, and how you can extract and manage this data using popular governance tools such as Alation or Collibra, ensuring compliance and data quality. Finally, Sarah will showcase how you can seamlessly integrate this data into your analytics tools of choice, such as Thoughtspot, PowerBI, or any other analytics tool that fits your organization's needs.

Talk by: Rick Wear

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc