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Optimising the data warehouse
Sponsored by ComputerWeekly.com
Dealing with large volumes of mixed data to give better business insights. The data warehouse is struggling to keep pace with an organisation’s data needs. Extraction, transformation and loading (ETL) tasks are being stretched beyond their capabilities, and organisations wedded to maintaining a standard ETL, relational data approach are finding that they have to cut corners in order to get some level of results from their analysis and reporting. However, a different approach can add a lot more value – and make the data warehouse work again.
Table Of Contents
- Defining ‘big data’
- The data warehouse issue
- A new approach
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