Summary
The world of data is changing from persistent states to data in motion. New data management and governance practices are necessary to move from analytics to operational use cases. To make this shift, we see the rise of data operations (DataOps), and the role of data engineers to develop, and innovate enterprise data capabilities. They need flexibility to handle AI demand, will use AI to analyze equipment at the edge, and support real-time inputs for mobile, internet-of-things (IoT) scenarios, and devices. This report provides insight into the practices, roles, responsibilities, and enabling technology to meet data at the edge of business.
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