AWS Glue - The Complete Masterclass
Master building complete AWS Glue ETL Pipelines, Glue Data Quality, Glue Data Brew along with other AWS resources
4.26 (2330 reviews)
16 922
students
4 hours
content
Feb 2023
last update
$59.99
regular price
What you will learn
Understanding of AWS Glue Data Catalog and creating AWS Glue Database, Glue Tables and Crawlers
Using AWS Glue Studio, creating the ETL pipeline along with scheduled triggers, conditional triggers and glue workflow
KMS, IAM Role, SNS, S3 and other associated AWS resources associated with Glue. Understanding and creation of all the resources
Understanding of AWS Glue Data Quality and creating the associated Glue ETL pipeline
Understanding AWS Glue Data Brew , creating the recipe, project and job to curate the dataset
Understanding the AWS Glue streaming, creating the stream using the Python shell job and load the stream using the Spark streaming
Different ways AWS Glue job can fail and debugging the failure and fix
Creating the AWS resources for AWS Glue Pipeline using the AWS console and cloudformation
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Comidoc Review
Our Verdict
Explore the AWS Glue ecosystem through this masterclass offering hands-on projects to reinforce concepts and extensive coverage of essential features. However, brace yourself for variations in depth across topics and accents that might affect learning flow and clarity. With improved Job Scripts explanation and more detailed instructions, this course could provide an even better experience for learners venturing into AWS Glue Pipelines.\n\n<em>Keywords: Hands-on AWS Glue projects, Data Catalog, Glue Studio, ETL pipelines, Data Quality, Data Brew, Cloudformation.</em>
What We Liked
- This masterclass provides hands-on AWS Glue projects that help reinforce theories and concepts.
- The course thoroughly explains various AWS Glue features such as Data Catalog, Glue Studio, ETL pipelines, Data Quality, and Data Brew.
- It covers the creation of resources using both AWS console and Cloudformation.
Potential Drawbacks
- Job Scripts explanation could be more detailed and comprehensive to fully grasp ETL processes.
- Organization and depth in some areas like CloudFormation and Redshift can be improved.
- Instructor's accent can be challenging for some learners, affecting overall comprehension.
Related Topics
4995646
udemy ID
25/11/2022
course created date
31/12/2022
course indexed date
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