Data Strategy Adviser: Advance from Traditional to Dynamic Data Warehousing

Data Strategy Adviser: Advance from Traditional to Dynamic Data Warehousing

To advance from traditional data warehousing to dynamic data warehousing requires a low-latency environment, not just a large atomic data warehouse. Most of the capabilities required to get from vanilla data warehousing to near real-time, on-demand data warehousing are implemented by the proprietary data warehouse vendors as workarounds to a legacy database and operating system.