From the course: Amazon Web Services: Data Analytics
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Which analytics type to use - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services: Data Analytics
Which analytics type to use
- [Instructor] So, now let's pull these concepts together and start tying them to the services that Amazon has available. In terms of deciding which analytics to use, there are the considerations around batch, interactive, and stream. Batch analytics are often used for business situations where you have data that need to be processed within minutes or hours. An example would be daily or weekly or monthly business reports. Interactive often is around data that needs to be processed within seconds. An example of this is self-service dashboards. For stream analytics, the time requirements are pretty extreme, often milliseconds or seconds, and another example of this would be fraud alerts. The Amazon Services for interactive and batch analytics include the following. The first is Amazon Athena. This allows you to do sequel queries on top of files that are stored in blob storage, which is called S3. Amazon called this serverless interactive queries, and we'll see this in action in this…
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Contents
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AWS analytics design concepts3m 34s
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Files vs. databases2m 58s
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Business vs. predictive analytics4m 25s
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Batching vs. streaming2m 32s
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Which analytics type to use1m 56s
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Data hygiene and ETL3m 57s
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Visualization and QuickSight2m 8s
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QuickSight demo4m 11s
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