Learn the basics of AWS Glue serverless ETL. Learn about how Glue crawlers and jobs work and how it can help you when designing AWS ETL transformations.
- [Narrator] AWS Glue is a new service at the time…of this recording, and one that I'm really excited about.…In a nutshell, it's ETL, or extract, transform,…and load, or prepare your data, for analytics as a service.…So, what does that mean?…It means several services that work together…that help you to do common data preparation steps.…So on the left side of this diagram you have…potential data sources, like Redshift, S3, RDS,…or proprietary databases that are running on EC2…like Cassandra or Mongo DB.…
In the middle you have the Glue capabilities.…On the right you have the analytics output,…Athena for ad hoc SQL queries, Redshift Spectrum…for ad hoc Redshift queries, Amazon Elastic Map Reduce,…managed, Hadoop, and Spark, for further analysis…often using Spark.…Also, Glue ETL, so further processing from Glue…and then being visualized with one of many tools.…
The one they're showing here is Amazon's own Quicksight.…You could use of course Tableau or ClickView…or some custom tool.…So what's this Glue in the center?…
- 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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