From the course: Amazon Web Services: Data Analytics

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Common analytics architecture patterns

Common analytics architecture patterns - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services: Data Analytics

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Common analytics architecture patterns

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- [Instructor] Now let's review some reference architectures. The first one is interactive and batch analytics. So you can see here, we have services that process and services that store our information. And we have two flows. We have a stream, and we have files. The interactive stream is called the hot path, and the file section is called the cold path. So you can see that we're working with Kinesis here. So we have Kinesis working with S3 to stream the data from our bucket using the Firehose and then push that data into a number of processes so that the data can ultimately be ready for the most sophisticated process of all, which is machine learning or artificial intelligence. So up on the top you can see that we're working with Redshift, Athena, EMR with some Presto and Spark processes, and processing that data so it can be part of the predictive model. On the bottom in the cold path, we're working with EMR again with Spark, Hive, and Pig, some of the more traditional batch jobs…

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