From the course: Amazon Web Services: Data Services

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Scenario: Build for the Internet of Things with Hadoop

Scenario: Build for the Internet of Things with Hadoop - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services: Data Services

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Scenario: Build for the Internet of Things with Hadoop

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- [Instructor] In this scenario we're going to look at Internet of Things with Hadoop. Now, if you're looking closely at the architectural diagrams you'll see that there's very little that is different from the previous one, where we talked about caching architecture. We still have our on-premise sources and our Kinesis enabled application. And, in the Amazon cloud we still have relational instances that we manage, the DB on instance, and relational instances that are partially managed, the MySQL (DB) instances for behavioral data. We have the caching capability with ElastiCache. We have S3 buckets. We have DynamoDB. We have Kinesis for streaming. We have a pipeline. So, what's new? We added in this scenario, an HDFS cluster, and that is our Hadoop implementation, otherwise known as EMR, or Elastic Map Reduced. And we've also added machine learning, because we now have enough data that we want to try out using…

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