Building a Data Fabric: Lessons Learned from the Field
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The document discusses the concept of a data fabric, emphasizing its importance in managing complex, distributed data landscapes across organizations. It highlights challenges such as underutilization of data, lack of agility, and governance issues, while proposing a logical approach to data management that promotes consistency and security. The authors, including Pablo Alvarez from Denodo, provide insights into building an effective data fabric that integrates diverse data sources using centralized models.
Building a Data Fabric: Lessons Learned from the Field
- 1. Transforming Data Management for the Cloud
- 2. Building a Data Fabric: Lessons from the Field Pablo Alvarez Global Director Product Management Denodo
- 3. 3 What is a Data Fabric
- 4. 4 What is a Data Fabric Gartner: What Is Data Fabric Design? (ID G00748508) By Analysts Robert Thanaraj, Mark Beyer, Ehtisham Zaidi
- 5. 5 Why? What Problems it Tries to Address?
- 6. 6 Data landscape is complex • Organizations are distributed • Use best tool for each task • Technology evolution Avg. of 400 sources used for analytics in big organizations Source: IDG, 2021 DATA SOURCE DATA CONSUMER Data Governance Tools DB, DW & Data Lakes Files BI Dashboard Report and Tools Data Science & Machine Learning Apps Mobile & Enterprise Apps Microservices Apps Cloud DB & SaaS Streaming Data & IoT Cube
- 7. 7 Underutilization of Data and Analytics Source: Denodo Global Cloud Survey 2022 62% 72% Source: Improving the State of Analytics in Organizations (ventanaresearch.com)
- 8. 8 Lack of Agility in Data Initiatives
- 9. 9 Governance and Security are Challenging
- 10. 10 How to Build a Data Fabric
- 11. 11 What’s Denodo’s recipe? Embrace a distributed data landscape • Embrace the fact that data resides in multiple locations or systems – on-prem, hybrid, multi-cloud • Different data systems serve different data needs • All data needs to be managed with consistency Use a logical approach to manage it • Consumers access data through a centralized semantic model, decoupled from data location and physical schemas • Can enforce security and governance requirements • Agile, flexible data integration methods
- 12. 12 A Mora Tactical Approach https://www.denodo.com/en/document/whitepaper/logical-data-fabric-whitepaper
- 13. Building a Data Fabric: Lessons from the Field Global Director of Product Management, Denodo Pablo Alvarez CTO, IQZ Systems Satish TK Senior Vice President of Architecture and Enterprise Data, Primerica Insurance James Barnes
- 14. Thank you!