Data Management and Storage

Data management and storage are the foundations for successfully processing Big Data workloads and together are likely the most expensive part of any Big Data solution. Data management requires a database engine that is able to receive and store data in a storage environment in such a way that it can be successfully and efficiently queried. Choosing the right data management offering depends on understanding the volume of data, the services used to collect the data, and the tools selected for analysis and reporting on the data so that it can deliver the appropriate level of performance.

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