AWS Glue : A Comprehensive Guide for Beginners

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Lal Verma

4:40:47

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1. Introduction

1. Welcome Note.mp4

02:32

2. AWS Glue - 101.mp4

03:59

3. Course Overview.mp4

02:15

2. Core Components

1. Core Components Overview.mp4

00:28

2. AWS Glue Data Catalog.mp4

01:44

3. Data Catalog Database.mp4

01:42

4. Data Catalog Tables.mp4

01:45

5. Crawler.mp4

02:41

6. AWS Glue Job.mp4

02:00

3. Getting Started

1. Getting Started Overview.mp4

00:33

2. [Optional] Setting Up AWS Account.mp4

03:31

3. Setting Up IAM User and Role.mp4

05:17

4. Setting Up Source Data.mp4

06:01

5. Creating ETL Job in AWS Glue.mp4

06:09

6. Running and Validating ETL Job.mp4

02:59

4. Data Discovery

1. Data Catalog and Preparation Overview.mp4

00:35

2. Crawler Supported Data Stores.mp4

04:09

3. Glue Connection.mp4

04:34

4. Demo AWS Glue Connection.mp4

06:31

5. Crawler Built-In Classifiers.mp4

03:08

6. Crawler Custom Classifiers.html

7. Demo Creating Custom Classifiers.mp4

08:23

8. Table Partitions Overview.mp4

02:39

9. Demo Table Partitions.mp4

06:13

10. Table Partitions Index Overview.html

11. Demo Table Partition Index.mp4

05:11

12. Column Statistics Overview.mp4

02:46

13. Demo Column Statistics.mp4

04:15

14. References.html

5. Building ETL Jobs with Visual ETL

1. Building ETL Jobs Overview.mp4

00:32

2. Visual ETL Overview.mp4

01:24

3. Visual ETL Features.mp4

06:17

4. [Optional] Apache Spark 101.mp4

02:51

5. Built In and Custom Transforms Quick Note.html

6. Built-in Transforms.mp4

05:24

7. Build-In Transforms - Notes.html

8. Demo Custom Transform.mp4

07:48

6. Building ETL Jobs with Script Editor

1. AWS Glue Script Editor.mp4

02:00

2. Apache Spark API Core Modules.html

3. AWS Glue API Core Modules.html

4. Demo Build ETL with Script Editor - Spark.mp4

06:17

5. Script Editor Notes & References.html

7. Build ETL Jobs with Python Shell

1. Python Shell Job in AWS Glue.mp4

03:06

2. Pandas - 101.html

3. AWS SDK for PythonBoto3 - 101.html

4. Demo Building ETL Job for Python Shell.mp4

04:53

5. Python Shell Notes and References.html

8. Build ETL Jobs with Interactive Sessions

1. Interactive Sessions Section Overview.mp4

01:27

2. [optional] Jupyter Notebooks - 101.mp4

03:37

3. Interactive Sessions Overview.mp4

03:08

4. Demo Building ETL Jobs with Notebook.mp4

09:20

5. Demo Building Jobs with Jupyter Notebook.mp4

06:34

6. Magic Commands.mp4

02:23

7. Interactive Sessions Notes & References.html

9. AWS Glue Streaming

1. AWS Glue Streaming Overview.mp4

05:34

2. Demo AWS Glue Streaming - Part 1.mp4

05:01

3. Demo AWS Glue Streaming - Part 2.mp4

06:18

4. AWS Glue Streaming Additional Notes.html

10. Building ETL Jobs using Ray

1. What is Ray An Overview.mp4

05:37

2. Enabling Ray with AWS Glue.mp4

02:21

3. Demo Sample Ray Job using Script Editor.mp4

04:25

4. Demo Sample Ray Job using Glue Studio Notebooks.mp4

03:45

5. ETL Jobs with Ray Notes and References.html

11. Job Configuration

1. Configuration Overview.mp4

00:36

2. Glue Versions.mp4

02:48

3. Configuring Properties for Spark Jobs.mp4

06:37

4. Configuring Properties for Python Shell Jobs.mp4

02:13

5. Configuring Properties for Ray Jobs.mp4

01:37

6. AWS CLI - Notes.html

7. [Optional] AWS CLI - 101.mp4

03:48

8. AWS CLI and AWS Glue.mp4

04:27

9. Job Parameters.mp4

05:19

10. Reference Job Configuration.html

12. Monitoring & Logging

1. Job Monitoring.mp4

07:07

2. Standard Metrics - AWS Glue Spark Jobs.mp4

07:05

3. Observability Metrics - AWS Glue Spark Jobs.mp4

04:00

4. Spark UI - AWS Glue Spark Jobs.mp4

04:58

5. Logging - AWS Glue Spark Jobs.mp4

05:33

6. Job Run Insights AWS Glue Spark Jobs.mp4

04:46

7. Monitoring & Logging Additional Notes & References.html

13. Tools

1. Tools Overview.mp4

00:17

2. AWS CLI and AWS Glue.html

3. [Optional] AWS CloudFormation - 101.mp4

06:42

4. AWS CloudFormation and AWS Glue.mp4

05:44

5. AWS SDK and AWS Glue.mp4

05:07

6. Tools Additional Notes & References.html

14. Conclusion

1. Pricing.mp4

04:04

2. Conclusion.mp4

02:52

3. Conclusion References.html

15. Appendix

1. Built-In Transforms Part 2.mp4

03:05

Description

Simplifying Data Discovery, Preparation and Loading with AWS Glue

What You'll Learn?

Data Catalog and Preparation - Tables, Crawlers, Classifiers, Partitions, Column Statistics
Supported Data Stores, Glue Connections
Building ETL Jobs - Visual Editor
Building ETL Jobs - Script Editor
Build ETL Job - Notebooks
Build ETL Job - Python Shell
Build ETL Job - Interactive Sessions
Building ETL Jobs with Streaming Data
Jobs Configuration
Monitoring and Troubleshooting Jobs
Best Practices

Who is this for?

Data Engineers, Data Scientists or Data Analysts looking forward to understand AWS Glue

What You Need to Know?

Basic Awareness on AWS

Basic Awareness on Apache Spark

Programming experience in Python

Basic Awareness on Jupyter Notebooks

Basic Awareness on Ray

Basic Awareness on Pandas

More details

Description
Welcome to the AWS Glue Course: Simplifying ETL and Data Preparation
Unlock the power of AWS Glue and transform the way you handle data integration and preparation. Whether you're a data engineer, data scientist, developer, or data analyst, this comprehensive course is designed to equip you with the knowledge and skills to efficiently use AWS Glue for your data processing needs.

Course Overview
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load your data for analytics. In this course, we'll explore AWS Glue from the ground up, starting with the basics and gradually moving on to more advanced topics and practical applications. Here's what you can expect:

Introduction
AWSÂ Glue Basics - Core Components, How it Works?
Getting Started
Data Discovery
Building Jobs with Visual ETL
Building Jobs with Script Editor
Building Jobs with Interactive Sessions
Building Jobs with Python Shell
Building Jobs using Ray Framework
Glue Streaming - Building Streaming Jobs
Jobs Configuration
Monitoring
Tools
Advanced Concepts
Conclusion
Who Should Take This Course?
This course is ideal for anyone who wants to leverage AWS Glue for data integration and preparation tasks. No prior experience with AWS Glue is required, but a basic understanding of AWS services and data processing concepts will be helpful.
What You Will Learn?
By the end of this course, you will be able to:
Understand the core functionalities and benefits of AWS Glue.
Efficiently catalog and manage your data using AWS Glue Crawlers and the Data Catalog.
Create and manage ETL jobs to transform and move your data.
Utilize advanced features for more sophisticated data preparation tasks.
Integrate AWS Glue with other AWS services to build comprehensive data solutions.
Apply best practices to optimize performance, manage costs, and ensure data security.

Enroll Now
Hello, I'm Lal Verma, your instructor for this course. With extensive experience in data engineering and cloud computing, I'm excited to guide you through the world of AWS Glue. Together, we'll unlock the full potential of AWS Glue and transform the way you handle data integration and preparation.
Join us in this journey to master AWS Glue and revolutionize your data workflows. Enroll now and start transforming your data integration and preparation processes with AWS Glue!
Who this course is for:
Data Engineers, Data Scientists or Data Analysts looking forward to understand AWS Glue

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Amazon AWS

Lal Verma

Instructor's Courses

I am a solution architect having around 20+ years of experience in the design and development of enterprise softwares. My expertise includes Cloud Technologies (AWS, Google Cloud), Data Analytics, Microservices, NoSql databases, Serverless Computing, Middleware, UI Technologies (Angular, Reactjs), and many other legacy technologies and frameworks. Some of the major enterprises I served include Schlumberger, Sears Holdings, FedEx, Daimler Trucks North America, Cigna Healthcare, and StateStreet.

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