Rethinking data architectures for a cloud world
Data analytics solutions are continuing to emerge at a fast and furious rate. Data teams are at the center of the storm because they have to balance all the demands for access, data integrity, security, and proper governance, which entails compliance with policies and regulations. The businesses they serve need information as quickly as possible and have little patience for that precarious balancing act. The data teams have to move fast and smart.They also have to be fortune tellers because they need to build not just the systems for today, but also the platforms for tomorrow. The first key question the data team must consider is: open or closed data architectures.To read this article in full, please click here
Data analytics solutions are continuing to emerge at a fast and furious rate. Data teams are at the center of the storm because they have to balance all the demands for access, data integrity, security, and proper governance, which entails compliance with policies and regulations. The businesses they serve need information as quickly as possible and have little patience for that precarious balancing act. The data teams have to move fast and smart.
They also have to be fortune tellers because they need to build not just the systems for today, but also the platforms for tomorrow. The first key question the data team must consider is: open or closed data architectures.
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