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- Data and AI
- Data
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Migrate your application to Azure and improve your current Azure environment
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The good, the bad & the ugly.
In the past, storing data was an expensive exercise. As a result, companies would carefully consider the value of their data before storing it in a database. Often, historical data was overwritten to make place for newer versions. Even though this helped cut costs, it was impossible to analyze data over a longer period.