Enterprise Architecture Approaches to Big Data

About this Resource

Many organizations are beginning to explore the potential value of Big Data and how it fits into their overall technology strategy. A common observation is that much of the work around Big Data is occurring outside the purview of the entity’s architecture function. Considering the size of investments being made, Enterprise Architects need to ensure they are entrenched in these efforts in a way that supports growth without sacrificing important controls and safeguards.

In this paper, Guy Sereff reviews a few basic Big Data concepts, such as its conceptual origins, widely accepted data characteristics and a few of the more widely used tools and techniques such as NoSQL and Hadoop. He also discusses how Big Data and traditional Enterprise Data Warehouse analytics differ and are more complimentary than contradictory.

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Enterprise Architecture Approaches to Big Data: Key Concepts and Best EA Practices
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