In this final article of the series covering the Production Analytic Platform paradigm, we look at data virtualization—a key requirement in today’s multi-source, data-overloaded world.
This is part 3 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Unifying the Worlds of Information and Processing [Part 4]
The inclusion of full function data processing in the Production Analytic Platform simplifies the task of gathering data from external sources such as the Internet of Things and clickstream data that requires both intensive exploratory modeling as well as high-speed application and maintenance of those models on real-time and streaming data.
This is the first of a four-part series of blog articles examining the inherent tradeoffs between data processing and information storage and presentation within traditional ETL paradigms — from the ODS to the data lake.
Considering data processing as a central component of data management and on a par with databases offers new insights on how to improve overall efficiency and return on investment in traditional data warehouses.