Prior to mid-2000s, the space of data analytics was mainly confined within the area of decision support systems. It was a long era of isolated enterprise data ware houses curating information from live data sources and of business intelligence software used to query such information. Most data sets were small enough in volume and static enough invelocity to be segregated in warehouses for analysis. Data analysis was not ad-hoc; it required pre-requisite knowledge of underlying data access patterns for the creation of specialized access methods (e.g. covering indexes, materialized views) in order to efficiently execute a set of few focused queries.
['Alexander Böhm 0002', 'Jens Dittrich', 'Niloy Mukherjee', 'Ippokrantis Pandis', 'Rajkumar Sen']
Operational analytics data management systems