From the course: Amazon Web Services: Data Analytics
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Files vs. databases - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services: Data Analytics
Files vs. databases
- [Instructor] The first consideration when we're trying to figure out which type of AWS services to use for analytic solution is to consider data structures. From a high level, there's really two pivots to think about. The first is files and the second is databases. Files can be seen as three different types. The first type is raw file storage, or sometimes called hot file storage, meaning files that are going to be accessed quite frequently, both for reading and possibly for writing. A new type of file storage is called a data lake. We'll be taking a very close look in this course at some of the new solutions that are available on the AWS ecosystem for providing analytics on a data lake. We'll look at the difference between raw file storage and data lake. They're different types of services that you use. A third type of file storage is archival. This is used mostly not for analytical solutions. This is used more for regulatory compliance. This is when, for some regulation, for…
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Contents
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AWS analytics design concepts3m 34s
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(Locked)
Files vs. databases2m 58s
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(Locked)
Business vs. predictive analytics4m 25s
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(Locked)
Batching vs. streaming2m 32s
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(Locked)
Which analytics type to use1m 56s
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(Locked)
Data hygiene and ETL3m 57s
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(Locked)
Visualization and QuickSight2m 8s
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(Locked)
QuickSight demo4m 11s
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