Data Integration and Master Data Management Edition
Oracle Corp
April 2012 Stay Connected: BlogFacebookTwitterLinkedIn
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Three Big Market Disruptors for Data Integration and Master Data Management
Three important trends have radically altered the face of data integration and master data management solutions today: big data, cloud computing, and engineered systems. Each trend poses a dramatic paradigm shift for our information management architectures, leading us to seek new ways to solve even newer challenges of moving and managing our data. Big data forces us to rethink how we process volumes and varieties of data at higher speeds; cloud computing forces us to rethink how we can build elasticity into that architecture; and engineered systems force us to rethink how we can optimize and simplify our architecture. 

But before we look at the impact for each of these areas, let’s first look at the current state of data integration and MDM—two technologies that achieve significant benefits independently and even more when combined.

Data integration, at its core, solves the issues of bulk data movement, real-time replication, synchronization, transformation, data quality, and data services. These capabilities serve as enabling technologies for moving data among data warehousing, business analytics, enterprise applications, and custom applications.

MDM is all about data management. This type of management can take the form of consolidation, data profiling, deduplication, compliance, survivorship, and hierarchy management, to name a few. Unlike data integration, MDM needs to be purpose-built for a domain in order to be effective. MDM’s application-awareness is an important prerequisite for successfully deploying enterprise applications such as CRM, ERP, SCM, and HCM, where data excellence is paramount.

In the other three articles in this edition, you’ll read about the impact big data, cloud, and engineered systems have on data integration and MDM technologies and learn more about Oracle’s strategy for each. 

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