Data Management Systems

Short History

To manage complex data and do data analytics, during the 1990s, the use of Relational Database Management systems (RDBMS) was very popular. However, as the volume data increased and storage became cheaper, there was an increase need for reporting in the 2000s. Therefore, in addition to RDBMS, Data-Warehousing (OLAP/BI) became another component of the data management systems. In 2010, we began to see an increasing number of data transactions that resulted in the introduction of big data to the current data management system. The data transactions were becoming error prone and to reduce error, increase flexibility and reduce costs, Big data systems were added to the RDBMS, and Data-warehousing. Now some companies may only have one the the 3 technologies in place.
Data Management Evolution (source: http://practicalanalytics.co)
Data Management Evolution (source: http://practicalanalytics.co)
 

Healthcare Prospective

In Healthcare, specifically, in Island Health, the use of big data systems has not been introduced, so Island Health is still using pre-2010 technology to run reports and queries based on the stored data. To get to the big data stage, organizations need to have to do risk-analysis to measure the benefits of the system compared to its costs. At this time (2016), the costs of big data systems outweighs the benefits of it for Island Health and many of the healthcare organizations, which are at similar stage as Island Health.