Fair Data or Foul Data…Lakehouse for Public Sector as a FAIR platform
Description
FAIR (findable, accessible, interoperable, reusable) data and data platforms are becoming more and more important in public sector. Lakehouse platform is strongly aligned with these principles. Lakehouse provides tools required to both adhere to FAIR but also to FAIRify data that isn't FAIR compliant. In this session, we will cover parts of the lakehouse that enable end users to FAIRify data products, how to build good robust data products and which parts of Lakehouse align to which principles in FAIR. We'll demonstrate how DLT is crucial for data transformations on nonFAIR data, how Unity Catalog unlocks discoverability (F) and governed data access (A), and how marketplace, cleanrooms and Delta Sharing unlock interoperability and data exchange (I and R). These concepts are massive enablers for highly regulated industries such as Public Sector. It undeniably important to align Lakehouse to standards that are widely adopted by standards and policy makers and regulators. These principles transcend all industries and all use cases. Talk by: Milos Colic and Pritesh Patel Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.li…
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