Many organizations need a more modern DW platform to address a number of new and future business and technology requirements. Most of the new requirements relate to big data and advanced analytics, so the data warehouse of the future must support these in multiple ways. For example, a leading goal of the modern data warehouse is to enable more and bigger data management solutions and analytics applications, which in turn help the organization automate more business processes, operate closer to real time, and learn valuable new facts about business operations, customers, and products through analytics.
User organizations facing new and future requirements for big data, analytics, and real-time operation need to start planning today for the data warehouse of the future. We’ve identified seven key recommendations to guide your selection of vendor products and solution design. This TDWI Checklist Report drills into each of the seven recommendations, listing and discussing many of the new vendor and open source product types, functionality, and user best practices that will be common in the near future, along with the business case and technology strengths of each.
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