Learn about the AWS service options available to perform ETL for data analytics. Learn how AWS Batch is natively integrated with EC2 spot instances for large-scale ETL jobs at a reasonable cost.
- [Instructor] So the previous movie, we took a look at…the new serverless ETL AWS glue service,…and the landscape here is getting kind of confusing.…So I wanted to pull this all together.…And you might wonder, why does Amazon have…so many services that support ETL?…And really, ETL is such a core part…of working with data in preparation for analysis.…It's complex, it's costly.…So Amazon is trying to move its server base solutions…into the world of serverless, and that's what…they've been doing with Glue.…
So Glue is a service that supports Serverless Spark ETL…or extract transform and load jobs,…and has an integrated data catalog.…In addition to that, there are several other services,…which are commonly used for ETL.…Amazon Elastic MapReduce, which is server-based…Hadoop and Spark.…It's used in situations where you want more control…over the configuration of the key services,…such as the Spark configuration file.…Also, you might want to have persistent servers…in situations where you want to optimize the servers…
- 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
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