Customer Keynote: Data Service and Security at an Enterprise Scale with Logical Data Fabric
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Watch full webinar here: https://bit.ly/3xepiQa Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.
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Customer Keynote: Data Service and Security at an Enterprise Scale with Logical Data Fabric
- 1. Logical Data Fabric: The Future of Data Management and Analytics
- 2. #DenodoDataFest Data Service and Security at an Enterprise Scale with Logical Data Fabric Enterprise Information Architect, McCormick Terry Dorsey
- 3. Data as a Service Terry Dorsey McCormick and Company, Inc Leveraging a Logical Data Fabric Image from 3DinCites
- 4. Our brands are leading and iconic across the world
- 6. We are like you Photo by OSPAN ALI on Unsplash.com
- 7. What is a Data Fabric? I have current challenges that I am facing! What do I do with a mesh? What does all this have to do with Analytics? What does all this mean for the cloud? We are like you Photo by Jukan Tateision Unsplash.com
- 8. We share your experiences ✔ Questions ✔ Challenges ✔ Aspirations ✔ Opportunities Photo by NASA Unsplash.com
- 9. “Plateau of Productivity” In the Gartner Emerging Technologies Hype cycle report released Aug. 23, 2021, “data fabric” sits right at the “Peak of Inflated Expectations” (along with Nonfungible Tokens or NFTs, and decentralized identity). Forrester called data fabric “a hot, emerging market,” in its Enterprise Data Fabric Forrester Wave report published in Q2 of 2020. Photo by Alessandro Bianchion Unsplash.com
- 10. What about Now? Greatidea, but how real is the idea of data fabric for the typical enterprise organization right now? August 25, 2021 https://www.informationweek.com/big-data/what-cios-need-to-know-about-data-fabric Photo by Tim Mossholder Unsplash.com
- 11. The Big Ideas • Data Products • Domain Knowledge • Multiple Delivery Types • Meta Data • Entry Point • Optimization • Flexibility • Low Maintenance Photo by Nejc Soklič Unsplash.com
- 12. What if • IT could manage a framework, but not “control” it • Business Users could find things and use them • Simplify and Share data easily • What if things could “adjust” transparently Photo by Danny Lines Unsplash.com
- 13. A Journey • Five Years • Machine Learning • Application • Cloud Migration • Analytics Integration Can we leverage what we do? Photo by Tim Graf Unsplash.com
- 14. Why I Like Data Virtualization Flexible Optimization Abstraction Blank Canvas We made it a foundational element! Photo by Jukan Tateishi Unsplash.com
- 15. Strategic Implementation • Collaboration • Balance • Assist with Culture Shift • Preparation for the future • Support current projects • Start Now Photo by JESHOOTS.COM Unsplash.com
- 16. Data Asset Defined A component comprised of a security model, meta data and enterprise data which represents an entity known to the business enterprise and exists for the purpose of creating data products Examples are product specifications, invoices, production orders, general ledger, customer hierarchy, etc. --Terry Dorsey Photo by Joshua Hoehne Unsplash.com
- 17. Asset Creation Request Decompose Democratize Secure Test Deploy Minimum Viable Product (MVP) Approach • Integrations • Applications • Reports • Analytics
- 18. Approval • Domains • Define Risks • Define Roles • Approve Access • Define Approval Processes and Workflows Asset Owners
- 19. PHYSICAL LOGICAL ASSET BUSINESS REPORTING MODELING Enterprise Data Services Consumer Data Services Physical Layer – Represents the Physical Data Model. Contains Authentication Details and ability to access information in source Logical Layer – Represents the Logical Data Model. Assimilation of information for specific Entities/Objects. Asset Layer – Controls Data Restrictions and allows Security to Audit access to Specific Roles Business Layer – Represents Business Entities. These views reflect the Enterprise Conceptual model of Assets and Transactions. Modeling – First Consumer Data Services Layer. Architecting of views for specific reporting purposes. Uses Business Layer views. Reporting – Views to support specific reporting requirements EA determines the approach to layered development. These databases are listed as examples only. EDS manages connectivity, security and enterprise naming.. Layered Development Enterprise Data Catalog
- 20. PHYSICAL LOGICAL ASSET BUSINESS REPORTING MODELING Enterprise Data Services Consumer Data Services EDS manages connectivity, security and enterprise naming.. Enterprise Data Catalog PHYSICAL LOGICAL ASSET APPLICATION REST REST ODBC Architected Views for Reporting and Self-Service Analytics Application/Integration Instances Reporting Instances BUSINESS MODELING
- 21. ASSET PHYSICAL LAYER Responsibility • Connectivity to Source Systems • Time Zone Settings • Global Standardization LOGICAL BUSINESS Enterprise Data Services Security • Restricted Access to Internal Resources • Promote views to Logical Layer for Development • Granular access in Source PHYSICAL
- 22. LOGICAL LAYER Responsibility • Assimilation (Minimal) • Semantic Naming PHYSICAL ASSET BUSINESS Enterprise Data Services Security • Restricted Access to Developers Only • Access Specific views promoted from Physical Layer LOGICAL
- 23. ASSET ASSET LAYER Responsibility • Semantic Naming • Security • Interface to Deployed Content or Enterprise Assets PHYSICAL LOGICAL BUSINESS Enterprise Data Services Security • Security Auditing • Access to Developers and Security Auditors
- 24. ASSET LAYER Enterprise Data Services Customer Secured Interface BETA Corp ALPHA Corp β α δ ALPHA Group BETA Group How it Works • User in Active Directory Group • Active Directory Group connected to Denodo Role • Denodo Role Restricted to rows and/or columns PHYSICAL LOGICAL BUSINESS ASSET
- 25. BUSINESS LAYER Responsibility • User Accessible Layer • Available via Data Catalog • Published Views PHYSICAL LOGICAL ASSET Enterprise Data Services Security • Inherits Restrictions from Asset Layer • Uses "Static" Interfaces to prevent propagation BUSINESS
- 26. BUSINESS LAYER Enterprise Data Services ✔ Everyone Access to Business Layer Development Artifacts: • “Published” Assets (Views) • Inherited Security Restrictions Customer Security Auditor Customer Secured Interface ASSET EDS Developer BUSINESS Business Users
- 27. Product Development Finance Manufacturing Supply Chain Marketing Consumer Data Services Enterprise Data Services •Democratization •Security •Semantics •Assimilation •Source Connectivity Business Application Physical Logical Asset Business ✔ Managed Connectivity to Sources ✔ Asset-Based Security ✔ Inherited Restrictions ✔ Few Deployed Views ✔ Many “Architected” Views Self Service and Self Governance Organic Growth
- 28. Types of Users • Developers • Services (Special Data Consumers) • Data Consumers • Analysts
- 29. Data Consumers • Data Catalog ✔ Meta Data ✔ Data Lineage ✔ Searching • Access ✔ Business ✔ Domain Specific ✔ Role Based • Read ✔ View Access ✔ Row Restrictions ✔ Sensitive Fields Restrictions ✔ Other
- 30. Analysts • Consumer Access • Use Business Assets • Model Views Develop ONLY
- 31. What We Achieve • Assets are shared across integrations, applications, analytics, etc. • Low/No Customization in Systems for integrations • Reuse and Extension of Enterprise Data Service • Transparent to Existing Consumers • Single point of maintenance for data Photo by Danny Lines Unsplash.com
- 32. ✔ Data Assets as Components ✔ Point of Origin ✔ Inherited Security ✔ Domain Assets ✔ Logical Models Reuse Photos by James Lee and Javier Graterol Unsplash.com
- 33. Challenges vs Vision Security ✔ Administration ✔ Auditing ✔ Governance ✔ Process Photo by Amol Tyagi Unsplash.com
- 34. Challenges vs Vision Security Culture ✔ Finding Information ✔ Use of Data ✔ Governance Photo by Timon Studler Unsplash.com
- 35. Challenges vs Vision Culture Security Awareness ✔ What’s New ✔ What’s Changed ✔ Getting the word out Photo by Josh Calabrese Unsplash.com
- 36. Challenges vs Vision Culture Security Awareness Engagement ✔ Communicate Possibilities ✔ Generate Excitement Photo by Austin Kehmeier Unsplash.com
- 37. Challenges vs Vision Culture Security Awareness Embedding Engagement ✔ Part of the Ways of Working ✔ Inject into Processes Photo by Austin Distel Unsplash.com
- 38. • Platform for Observation • Information to Build Knowledge • Foresight for performance improvement • Foundation for ML and AI influence • Leveraging the Logical Data Fabric Opportunities Photo by Riccardo Annandale Unsplash.com
- 39. © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies. Thank You!
- 40. Questions Photo by Ilkka Kärkkäinen Unsplash.com