An organization has migrated several large databases to the cloud. It wants to increase the value of its data, improve cost controls and strengthen regulatory compliance. What should the organization do?
Creating reports sounds useful, but I wonder if that really addresses the core issues of compliance and cost control as effectively as a governance program would.
Creating monthly reports on data access and uses seems like a good idea, but I'm not sure if that alone would be enough to meet all the stated objectives. I'll need to consider the other options as well.
Exporting relational data to modern NoSQL databases could be an interesting approach, but I'm not sure if that would really address the key requirements here. I'll have to weigh the pros and cons.
Hmm, I'm not sure about this one. Deleting data older than a year could help with cost controls, but it might not address the other goals. I'll need to think this through carefully.
This question seems straightforward. I think the best approach is to establish an effective data governance program to increase the value of the data, improve cost controls, and strengthen regulatory compliance.
Hmm, this seems like a tricky one. I'll need to think carefully about the key factors that can make it difficult for an organization to adopt DevOps practices.
Hey, I've got a funny one - if they really want to increase the value of their data, they should just start mining bitcoin with it! Jokes aside, B is definitely the right answer.
I agree, B is the way to go. Deleting data or exporting to NoSQL might not be the most strategic moves here. A good data governance program can really unlock the full potential of the data.
B) Establishing an effective data governance program seems like the best way to increase the value of the data, improve cost controls, and strengthen regulatory compliance. Data governance is key for managing data assets effectively.
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