Agile Data Management with Enterprise Data Fabric (Middle East)
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The document discusses the evolution and trends in data management, highlighting the importance of agile data architectures such as data fabric, data mesh, and multi-cloud strategies to facilitate digital transformation. It emphasizes the need for modern organizations to integrate data across various environments for improved analytics and business intelligence. Data virtualization is identified as a key technology that enhances flexibility, reduces delivery time for data, and simplifies user access to complex data infrastructures.
Agile Data Management with Enterprise Data Fabric (Middle East)
- 1. Agile Data Management with Enterprise Data Fabric Alexey Sidorov PhD Data Management Director, Chief Evangelist
- 2. 2 Albert Einstein We cannot solve our problems with the same thinking we used when we created them
- 3. 3 Evolution of Data Management
- 4. 4 Data Warehouse Data Lake Invented in 1992 Invented in 2008
- 5. 5 Businesses increasingly demand capabilities that enable them to achieve digital transformation through faster integration, real-time analytics, and better data discovery process
- 6. 6 While IT keeps trying to get all data to a single repository, that data has grown across systems, transcending data warehouses, data lakes, cloud, and, more recently, to the edge.
- 7. 7 Data Warehouse Data Lake Virtual Data Invented in 1992 Invented in 2008
- 8. 8 Gartner Data Virtualization Market Guide, Dec 2018 Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture”
- 9. 9 3 Trends in Modern Data Architecture
- 10. 10 Multi-Cloud Virtual Data Fabric Data Mesh Data Virtualization Platform Technology § Modern Data Architectural Styles
- 12. 12 How to Get More from Your Data in 2020, Jan 2020 A data fabric architecture is designed to stitch together historical and current data across multiple data silos to produce a uniform and unified business view of the data.”
- 13. 13 Virtual Data Fabric Consumers Data Science Machine Learning Artificial Intelligence Mobile Applications Predictive Analytics Business Intelligence Relational NoSQL Unstructured Docs Cloud Sensors IoT Sources Unified Data Security Abstraction Layer Universal Access Self-Service Data Catalog
- 14. 14 Data Mesh
- 15. 15 Should Your Application Consider Data Mesh Connectivity? May 2020 … data mesh allows data sources to remain distributed and controlled by different organizations, but accessible to a centralized application”
- 16. 16 Virtual Data Mesh Consumers Data Science Machine Learning Artificial Intelligence Mobile Applications Predictive Analytics Business Intelligence Unified Data Security Abstraction Layer Universal Access Self-Service Data Catalog Data Domains
- 17. 17 Multi-Cloud
- 18. 18 A Clear Multicloud Strategy Delivers Business Value, Apr 2018 CIOs face the challenge of multicloud and of developing an effective strategy to understand and manage the mix of cloud resources upon which their businesses depend.
- 19. 19 § Multi-Cloud Architecture On-prem Data Center
- 20. 20 Multi Cloud Data Mesh Consumers Data Science Machine Learning Artificial Intelligence Mobile Applications Predictive Analytics Business Intelligence Unified Data Security Abstraction Layer Self-Service Data Catalog Universal Access Sources Cloud Data OnPrem Data Cloud Data Cloud Data
- 21. 21 Demo
- 22. 22 Logical Data Fabric Consumers Data Science Machine Learning Artificial Intelligence Mobile Applications Predictive Analytics Business Intelligence Unified Data Security Abstraction Layer Universal Access Sources Oracle Cloudera Snowflake Webservice $
- 24. 24 § Data Virtualization is a key technology when building a modern data architecture § It provides flexibility and agility and reduces the time to deliver data to the business by up to 10x § Data Virtualization hides the complexity of a constantly changing data infrastructure from the users § It allows you to introduce new technologies, formats, protocols, etc. without causing user disruption § Key Takeaways
- 25. § Denodo – Leader of Data Management
- 26. Q & A
- 27. Thanks! www.denodo.com info@denodo.com © 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. Alexey Sidorov PhD asidorov@denodo.com +971 56 625 3066 +7 915 185 5562