From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

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Hands-on learning: Configure an Amazon Data Firehose stream

Hands-on learning: Configure an Amazon Data Firehose stream

From the course: AWS Certified Machine Learning Engineer Associate (MLA-C01) Cert Prep

Hands-on learning: Configure an Amazon Data Firehose stream

- [Instructor] In this lesson, we'll configure an Amazon data Firehose stream. Note that Firehose is not on the free tier, so there's going to be a small charge of around seven cents or so to process our test data. Now if you don't want to incur the cost, just watch me do the lab without doing it in your own account. Okay, let's go over to the console, and let's go to, let's search for Firehose and open the data Firehose console. Okay, click on Create a Firehose Stream. For the source, choose direct put. We're going to put some test data ourselves. Notice that the other options here are Kinesis Data Stream or the managed service for Apache Kafka. The destination, we're just going to put our test records at Amazon S3, but you can see we also have other options such as Open Search, Redshift, Datadog, Elastic, and HTTP Endpoint, Snowflake, and many others. So let's choose Amazon S3. Let's give our Firehose stream a name. Let's just call it DEA. This next section allows us to configure…

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