From the course: Amazon Web Services: Data Analytics
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Set up Kinesis for input streams - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services: Data Analytics
Set up Kinesis for input streams
- [Lynn] The next service we're going to look at is Kinesis and this is used as a pipeline for working with data that you're going to stream into an analytics solution. So, when you work with Kinesis, it's similar conceptually to Dynamo in that it is a Managed Service. You don't have to manage servers or scaling, you just buy capacity, basically. So, you have a couple of different options. You need to define the stream type. You can have a type of stream that is data and you're going to need to set the size via a shard count, and again, this is very similar to what we saw in the previous movie with DynamoDB with read/write capacity. You can set this to automatically scale or you can control the scaling via the Mac shard count. There is a new type of Kinesis stream and that is for a different type of data, that's Video Kinesis stream, and there is enhancement to the core Data Kinesis streams, it's called a delivery or a Firehose stream and this is associated to certain types of storage…
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Contents
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Setup for AWS analytics7m 29s
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Query Athena using SQL query on S35m 44s
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Query DynamoDB for NoSQL7m 19s
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Set up Kinesis for input streams9m 17s
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Query Kinesis Analytics8m 38s
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Query CloudSearch and Elasticsearch5m 17s
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Query AWS IoT7m 27s
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Set up EMR, RDS, and Redshift3m 49s
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Query RDS with ANSI SQL3m 38s
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Query Redshift for RDBMS8m 36s
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Query Redshift Spectrum2m 25s
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Query EMR with Apache Spark5m 5s
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