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Trends in Data Architecture: A DATAVERSITY 2017 Report

White Paper Published By: DATAVERSITY
DATAVERSITY
Published:  Oct 12, 2017
Type:  White Paper
Length:  66 pages

The old paradigms of Data Architecture are evolving at an ever-increasing rate. Past enterprise architectures are undergoing significant technological changes in the face of new trends, including Big Data, non-relational data stores, Blockchain, Internet of Things, Machine Learning and Artificial Intelligence, Data Lakes, and many others. Enterprises must still contend with their foundational data assets and legacy systems though – Data Governance, Master Data Management, Data Quality, Data Modeling, and other traditional Data Management concepts and practices are more important than ever.

What are the emerging trends in Data Architecture? How can next-generation architectures help an enterprise to become data-driven? How does an organization implement such changes and still maintain their core data assets? What ecosystems are being employed most by organizations? Which ones are planned for the future? How are organizations coping with these changes?

The foundation of this report is a survey conducted by DATAVERSITY® that included a range of different question types and topics on the current state of Data Architecture. The report evaluates the topic through a discussion and analysis of each presented survey question, as well as a deeper examination of the present and future trends.



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