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This video explores *Databricks Delta Sharing**, the industry’s first open protocol for secure, real-time data sharing. Whether you are looking to break down internal data silos or collaborate with external partners, Delta Sharing provides a scalable, **multi-cloud* solution that works regardless of the recipient's computing platform. *What You’ll Learn* In this deep dive, we cover the core mechanics and business advantages of Delta Lake’s sharing capabilities: *Open, Cross-Platform Sharing:* Share data stored in Delta Lake and Apache Parquet formats without **vendor lock-in**. Recipients can use tools like Pandas, Power BI, Apache Spark, or Tableau. *Zero-Copy Efficiency:* Share live data without the cost and risk of **data replication**. *Centralized Governance:* Manage, audit, and track shared datasets from a single platform using **Unity Catalog**. *Secure Delivery:* Learn how the server uses *short-lived pre-signed URLs* to allow recipients to read files directly from cloud storage (S3, ADLS, or GCS) in parallel for high performance. *Key Use Cases* Delta Sharing is transforming data exchange across various industries: 1. *Internal Sharing:* Seamlessly move data between different business units (e.g., Finance, Marketing, and Sales) within a single organization. 2. *B2B Collaboration:* Securely share inventory levels or shipment tracking with suppliers and vendors in real-time. 3. *Data Monetization:* Safely grant access to valuable datasets for researchers or advertisers to generate new revenue streams. 4. *Data Clean Rooms:* Collaborate in a privacy-safe environment without revealing raw data to other parties. *Security Best Practices* To ensure your enterprise data remains protected, we discuss essential security configurations: *Token Management:* Always set appropriate *expiration times* for recipient tokens and establish a rotation process. *Network Security:* Use *IP Access Lists* to restrict data access to trusted network locations, such as your corporate VPN. *Principle of Least Privilege:* Configure granular partitions to share only the specific subsets of data a recipient needs. --- *Are you planning to implement Delta Sharing for internal use or external partnerships?* Let me know in the comments if you would like a step-by-step guide on setting up your first *Share* and **Recipient**. This video is generated using notebook LLM #Databricks #DeltaLake #DataSharing #UnityCatalog #DataEngineering #CloudData #OpenSource