TDWI sees user organizations continuing their long-running success with various designs and architectures for data warehouses. However, recent business and technology requirements demand support for numerous workloads for advanced analytics and big data, workloads that many data warehouses were not designed for by their users (due to an organizational focus on requirements for reporting and OLAP).
Instead of trying to retrofit new workloads on a mature, successful warehouse, many users choose to offload these to “edge” systems, an approach with long precedence in operational data stores (ODSs), data marts, and data staging areas. This involves analytic workloads, as well as workloads for real-time data and big data processing. Hence, data warehouses are today trending toward distributed architectures with one or more analytic databases at the edge. This Webinar explains why the analytic database has become a permanent fixture in data warehousing and data warehouse architectures, plus presents a view into its future trends.
Attendees will learn about:
Individual, Student, & Team memberships available.