Implementing and Managing a Data Fabric: Steps to Success

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Sam Chance
Sam Chance Principal Consultant Cambridge Semantics
Tom Hoblitzell
Tom Hoblitzell Vice President of Data Management Datavail
Kevin Bohan
Kevin Bohan Director of Product Marketing Denodo

As data environments continue to grow more diverse, distributed, and complex, the need for agile data management has increased proportionally. To maximize the value of their data, organizations need to make it available to users where and when it's needed—fast, easy access is the mandate. This requires rethinking traditional data management practices.

In response, data fabric has emerged as a new design concept aimed at solving the persistent challenges of integrating, governing, and sharing data across the enterprise. Through a unified architecture and combination of data services and technologies, organizations can create an integrated layer of connected data to facilitate self-service data consumption.

The benefits of this scenario are easy to understand but getting there is a different story. There is no out-of-the-box or one-size-fits-all solution, and it's not a one-and-done project either.

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