Data warehouses of the past made many promises: they would be a single source of the truth, they would provide reliable data when and where needed, and so on. These promises were rarely realized and when they were, it was never quite enough. Why was there this gap between expectations and reality? Much of the problem is in the way that we think about data. Enterprise data warehousing (EDW) views data as a thing to be stored, processed, and managed by technology organizations. To improve things, we must think about data in an entirely different way—data as a service that is accessed, processed, analyzed, and reported people throughout the enterprise.
The enterprise data marketplace (EDM) weaves data into the fabric of the business a shift from inert to organic. With data services presented through a “storefront” interface where data consumers can shop to find best-fit data for their needs—an architectural shift from EDW to EDM.
Imagine the power and impact of shopper-like services for analysts seeking data. EDM provides data seekers with services to find datasets, evaluate fit for purpose, read reviews of others who have used the data, immediately access data, and prepare it for use. Recent technology innovations provide advanced capabilities for data cataloging, data preparation, data curation, and collaboration. They put the EDM within reach of data-dependent organizations everywhere.
You Will Learn
- To think about data in a new and different way
- To understand the EDM components framework
- How to end the vicious circle and trigger a virtuous cycle of data growth
- The 4 C’s of EDM: curating, cataloging, collaboration, and crowdsourcing
- Governed self-service advantages of EDM
- How to get started with your own EDM
- BI and Analytics leaders
- Data architects, data integrators, and data providers
- Anyone interested in data as a service
- Anyone interested in self-service BI and analytics
- Anyone needing to evolve governance practices to work in the self-service world