Traditional Data Management approaches that rely on collecting data within a centralized data store, such as a cloud data warehouse or data lake, are core building blocks for your data modernization efforts. However, you need more to address the diverse needs of today's businesses. Hybrid/Multi-cloud, SaaS, and data privacy laws are just a few examples of why data will remain distributed.
In this session, Paul Moxon, SVP Data Architecture and Chief Evangelist with Denodo, will discuss why you need to complement these centralized solutions with a logical data management platform that establishes an abstraction layer across all enterprise data assets, enabling immediate access to any dataset regardless of its location, format, or latency.
Watch On-Demand & Learn:
- The need for a modern cloud data architecture
- Trends and Best Practices for a modern data stack
- The foundational capabilities required when building a Data Fabric and/or Data Mesh architecture
- How to simplify your data governance and security programs