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If You Love Your Data, Set It Free


In the past, data was structured, secure and tightly controlled. The bad news is that the data was limited by the firewall of personnel, technologies and process rigidity. Today, however, the demand is for just-in-time and inclusive data, moving away from a monolithic data system mentality to multiple sources of data that provide real-time inferences on consumers, activities, events and transactions. The move is in the ownership of data value to the very people who really need it, who help define its analysis, and who can best use it for business and consumption advantage.

The move is in the ownership of data value to the very people who really need it, who help define its analysis, and who can best use it for business and consumption advantage. Analysis and productivity values rule the future of data as services.

But how to jibe the best of the old with the needs of the new? How to use data services as onramps to SOA? How to bring data together for federated analysis? And how to use the power of open source licenses and community to encourage the further federation of data as standardized consumable services?

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