Abstract
In the previous chapter, you worked with various activities to build a solution with various data analytics requirements. On Microsoft Azure, you will notice that many services are available for storage and compute. There is no right or wrong choice of service; you just need to be clear about what the business needs now and, more important, what it needs in the future. There will always be trade-offs when choosing one service over another. So, as a data professional, you need to be clear on what the business requirements are now and in the future.
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© 2019 Sudhir Rawat and Abhishek Narain
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Rawat, S., Narain, A. (2019). Data Transformation: Part 2. In: Understanding Azure Data Factory. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4122-6_5
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DOI: https://doi.org/10.1007/978-1-4842-4122-6_5
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4121-9
Online ISBN: 978-1-4842-4122-6
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