In this paper, Michael Stonebraker defines data unification and compares different technical approaches to achieving the desired end-state of clean, accurate, consolidated data sets.
He then proposes seven tenets that must be considered by data management practitioners who seek to unify large volumes and varieties of data.
Michael Stonebraker’s database management strategies are driving major changes at GE, Thomson Reuters, and Toyota.
Access your copy of these award winning data integration strategies.
Reference data management refers to the hundreds of high-quality data sources available to financial institutions in order to enrich customer information. This data is used for various purposes — from maintaining more complete records to evaluating risk and monitoring market trends. Although 90% of institutions already use external sources to enrich customer data, 85% of these organizations are apprehensive of bringing in new sources and systems for two primary reasons — speed of implementation and accuracy.
During this webinar, we’ll discuss:
Michael Stonebraker is an adjunct professor at MIT CSAIL and a database pioneer who specializes in database management systems and data integration. He was awarded the 2014 A.M. Turing Award (known as the “Nobel Prize of computing”) by the Association for Computing Machinery for his “fundamental contributions to the concepts and practices underlying modern database systems as well as their practical application through nine start-up companies that he has founded.”