Modern Data Architecture
Organizations are scrambling to learn how to leverage big data and its associated platforms. As a result, they are rethinking their data management infrastructure in search of the best ways to derive value from their data. Among these efforts, data warehouse modernization is one of the most pressing big data issues because of the broad role data integration (DI) plays in capturing, processing, and moving data.
Impetus partnered with TDWI to prepare a checklist report that drills into the top eight data warehouse modernization tips,including many of the new product Types, functionality, best practices, use cases and the strengths of each recommendation.
Read the checklist to learn how to accommodate new big data business requirements and modernize your data integration.
Big Data Warehouses Drive Faster, Integrated, Self-Service Analytics
The Enterprise Data Warehouse (EDW) is not dead; it’s evolving! It has come a long way, but in the era of big data, the traditional EDW is failing to meet new business requirements, such as support for real-time and ad hoc customer analytics, new sources of data, and self-service capabilities. That’s why this Forrester report on data warehouse best practices is a must-read for enterprise architects. Discover how you can gain a competitive edge and enable innovation and growth. Learn how the new big data warehouse addresses EDW gaps and delivers timely and actionable insights.
To learn more about data warehouse best practices, see the webinar The Next Generation EDW: Delivering on the Promise of Big Data