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» » » Developing Serverless ETL with AWS Glue

Developing Serverless ETL with AWS Glue

Developing Serverless ETL with AWS Glue
Video: .MP4, AVC, 1920x1080, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 32m | 615 MB
Instructor: Norm Warren
If you have data that needs to be subjected to analytics, then you will likely need to put that data through an extract, transform and load (ETL) process, AWS Glue is a fully managed service designed to do just this. Through a series of simple configurable options, you can select your source data to be processed by AWS Glue allowing you to turn it into cataloged, searchable and queryable data. This course will take you through the fundamentals of AWS Glue to get you started with this service
Learning Objectives
The objectives of this course are to provide you with and understanding of:
Serverless ETL
The knowledge and architecture of a typical ETL project
The prerequisite setup of AWS parts to use AWS Glue for ETL
Knowledge of how to use AWS Glue to perform serverless ETL
How to edit ETL processes created from AWS Glue
Intended Audience
This course is ideal for:
Data warehouse engineers that are looking to learn more about serverless ETL and AWS Glue
Developers that want to learn more about ETL work using AWS Glue
Developer leads that want to learn more about the serverless ETL process
Project managers and owners that want to learn about data preparation
Prerequisites
As a prerequisite to this course you should have familiarity with:
One ore more of the data storage destinations offered by AWS
Data warehousing principles
Serverless computing
Object-orientated programming (Python)
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