Set up an EMR, RDS, and Redshift data cluster for use in data analytic scenarios.
- [Instructor] So, in this next section…we're going to be working with data on data servers or…virtual machines running on amazon in clusters.…And, we have three types.…So, first we're going to set them up,…'cause it takes some time for the servers to be established,…between ten minutes and really, even up to a half an hour.…So, we're going to perform the set up steps first,…then we'll populate with data and query.…So, there's three types;…we have managed Hadoop and Spark,…which is called Elastic MapReduce.…Managed MySQL, Relational Database MySQL,…which is called Relational Database Service or RDS,…and then a managed data warehouse running PostgreSQL,…and that's called Redshift.…
Now, there are a couple of setup steps.…One of them I already did,…in EC2 I created a Key Pair.…So, all I did was click Create Key Pair,…and then I called it demo-emr…and that automatically downloads it to this machine.…The reason for that is, on a machine that runs Linux…you need a key pair that provides the security…authentication, and we'll see this when we set up EMR.…
- Explain the difference between files and databases.
- Identify examples of batching, micro-batching, and streaming.
- Prepare helpful data visualizations with QuickSight.
- Recognize the different types of analytics available in AWS.
- Demonstrate how to set up AWS CLI.
- Describe common analytics architecture patterns.
Skill Level Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
1. Analytics on AWS
2. Analytic Services
3. AWS Code Tools for Analytics
4. Advanced Analytics
Next steps1m 20s
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