Learn the basics of AWS Kinesis Analytics. Explore how an analytic application works and how it can help you when designing streaming solutions.
- [Instructor] So now that we've set up our kinesis streams,…in order to perform analytics via SQL queries against…the incoming data in those streams,…we need to understand how kinesis analytics works.…Basically there are three concepts.…The first is a concept of a kinesis analytics application,…which is shown here, scoped by having application code…which will access the in-application input streams…and the in-application output streams.…
Optionally, you can also access an error stream.…You're going to define SQL queries,…and then store the results of those queries…to one of the destinations that is associated…to the firehose, and you'll remember that's S3 in our case,…which is just a file bucket.…So back in the console, we're going to click on…create analytics application in the kinesis section,…and we're going to call this demo application,…for demo, and click create application.…
And then we'll be guided through this UI,…in connecting to a source.…So if we scroll down,…we can see that we want to connect…to an existing kinesis stream,…
- Explain the difference between files and databases.
- Identify examples of batching, micro-batching, and streaming.
- Prepare helpful data visualizations with QuickSight.
- Recognize the different types of analytics available in AWS.
- Demonstrate how to set up AWS CLI.
- Describe common analytics architecture patterns.
Skill Level Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
1. Analytics on AWS
2. Analytic Services
3. AWS Code Tools for Analytics
4. Advanced Analytics
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