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Your company has multiple databases that contain millions of sales transactions.
You plan to implement a data mining solution to identify purchasing fraud.
You need to design a solution that mines 10 terabytes (TB) of sales date. The solution must meet the following
requirements:
Run the analysis to identify fraud once per week.
Continue to receive new sales transactions while the analysis runs.
Be able to stop computing services when the analysis is NOT running.
Solution: You create a Microsoft Azure Data Lake job.
Does this meet the goal?
A.
Yes
B.
No
Yes. Data Lakes job can be stopped or paused. There will not be compute charges and data is persisted in the Azure blob storage.
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Processing large amounts of unstructured data requires serious computing power and also maintenance effort. As load on computing power typically fluctuates due to time and seasonal influences and/or processes running on certain times, a cloud solution like Microsoft Azure is a good option to be able to scale up easily and pay only for what is actually used.
Reference: http://blog.cloudera.com/blog/2016/02/how-to-install-cloudera-enterprise-on-microsoft-azure-part-1/
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