From the course: Amazon Web Services: Data Analytics
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AWS analytics design concepts - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services: Data Analytics
AWS analytics design concepts
- [Instructor] As we get started learning about analytics on Amazon Web Services, or AWS, I want to start with a key question that I use when working with my real-world customers. And the question is this. When are analytics useful? What I sometimes find in the real world is that although analytic solutions will be existent, they're not being used. And I'm going to come back to this throughout this course, because it's extremely important that the time and effort you put in to any analytics solution provides business value. And to that end, I want to start by grounding us in key concepts. The very first thing you need to consider when you're looking at all the possible analytic services and solutions is the business problem. So examples of business problems are why did our sales increase so exponentially in the last quarter over the previous quarters? Another example would be why is a particular product in our line of IoT devices not being used by a customer segment that we thought…
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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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