零信任全价值：利用 Databricks Clean Rooms 将分析货币化.pdf

1、No-Trust,All Value:Monetizing Analytics with Databricks Clean RoomsEddie Edgeworth6/11/2025The Collaboration Paradox$3.1 TRILLIONAnnual value lost to siloed/disconnected data(IDC Study)Why sharing data&IP is harder than everParalysis in the Headlines3Source:Cybersecurity Dive(12 Jul 2024);SPZ(6 Oct

2、2015);Healthcare Dive(25 Oct 2024).Images respective owners.Cases for No-Trust AnalyticsEach bank sees partial activity;fraud ring remains invisibleFraud-Ring DetectionOncology Insight BoostAd-Measurement Truth-Set4Three Problem StatementsHidden pattern across 4 banksHospital Genomics+PharmaHospital

3、s cant expose PHI;pharma wont share IP;life-saving insights stallRetailers wont leak PII;media lacks SKU data.ROI remains guessworkThe Trustless Flow5Any participant can contribute data and code.Clean Room enforces zero-trust boundariesUnder the Hood:How Clean Rooms Work6Unity Catalog+Delta Sharing

4、secure a serverless enclave Dual approval lets queries in,only aggregate insights outCreate the clean room(Databricks CLI)Register shared assets(SQL in Clean Room)Run Notebook code inside the Clean RoomDatabricks Clean RoomsIndustry Use Cases in ActionCross-Bank Fraud RingData ContributorsFraud Ring

5、 Clean RoomOutput Table8Industry Use Cases in ActionTransactions_2025_q2(Streaming Table)Customers_kyc(PII hashed)Bank ATransactions_2025_q2(Streaming Table)Customers_kyc(PII hashed)Bank BTransactions_2025_q2(Streaming Table)Customers_kyc(PII hashed)Bank CNotebook:Detect_ring.pyNotebook detect_ring.

6、pyGraphFrames.connectedComponents()Approval WorkflowAudit Logs RetainedOutput Table:suspicious_ringsDaily CSV feed FinCen/regulatorOncology Insight BoostData ContributorsOncology Insight Clean RoomOutput Table9Hospital Genomics+Pharma R&D uniteDrug_targetsTrial_resultsOncoPredict model(volume)Pharma