From the course: Amazon Web Services: Data Analytics
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Query Kinesis Analytics - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services: Data Analytics
Query Kinesis Analytics
- [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…
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Contents
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Setup for AWS analytics7m 29s
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(Locked)
Query Athena using SQL query on S35m 44s
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(Locked)
Query DynamoDB for NoSQL7m 19s
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(Locked)
Set up Kinesis for input streams9m 17s
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(Locked)
Query Kinesis Analytics8m 38s
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(Locked)
Query CloudSearch and Elasticsearch5m 17s
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(Locked)
Query AWS IoT7m 27s
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(Locked)
Set up EMR, RDS, and Redshift3m 49s
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(Locked)
Query RDS with ANSI SQL3m 38s
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(Locked)
Query Redshift for RDBMS8m 36s
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(Locked)
Query Redshift Spectrum2m 25s
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(Locked)
Query EMR with Apache Spark5m 5s
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