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AWS Glue : A Comprehensive Guide for Beginners

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AWS Glue : A Comprehensive Guide for Beginners, available at $44.99, has an average rating of 4.65, with 101 lectures, 10 quizzes, based on 10 reviews, and has 101 subscribers.

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You will learn about 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 This course is ideal for individuals who are Data Engineers, Data Scientists or Data Analysts looking forward to understand AWS Glue It is particularly useful for Data Engineers, Data Scientists or Data Analysts looking forward to understand AWS Glue.

Enroll now: AWS Glue : A Comprehensive Guide for Beginners

Summary

Title: AWS Glue : A Comprehensive Guide for Beginners

Price: $44.99

Average Rating: 4.65

Number of Lectures: 101

Number of Quizzes: 10

Number of Published Lectures: 101

Number of Published Quizzes: 10

Number of Curriculum Items: 111

Number of Published Curriculum Objects: 111

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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

Target Audiences

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

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:

  1. Introduction

  2. AWS Glue Basics – Core Components, How it Works?

  3. Getting Started

  4. Data Discovery

  5. Building Jobs with Visual ETL

  6. Building Jobs with Script Editor

  7. Building Jobs with Interactive Sessions

  8. Building Jobs with Python Shell

  9. Building Jobs using Ray Framework

  10. Glue Streaming – Building Streaming Jobs

  11. Jobs Configuration

  12. Monitoring

  13. Tools

  14. Advanced Concepts

  15. 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome Note

Lecture 2: AWS Glue – 101

Lecture 3: [Optional] What is ETL?

Lecture 4: Course Overview

Chapter 2: Core Components

Lecture 1: Core Components : Overview

Lecture 2: AWS Glue Data Catalog

Lecture 3: Data Catalog: Database

Lecture 4: Data Catalog: Tables

Lecture 5: Crawler

Lecture 6: AWS Glue Job

Chapter 3: Getting Started

Lecture 1: Getting Started: Overview

Lecture 2: [Optional] Setting Up AWS Account

Lecture 3: Setting Up IAM User and Role

Lecture 4: Setting Up Source Data

Lecture 5: Creating ETL Job in AWS Glue

Lecture 6: Running and Validating ETL Job

Lecture 7: Getting Started: Sample Source Data

Chapter 4: Data Discovery

Lecture 1: Data Catalog and Preparation: Overview

Lecture 2: Crawler: Supported Data Stores

Lecture 3: Glue Connection

Lecture 4: Demo: AWS Glue Connection

Lecture 5: Crawler: Built-In Classifiers

Lecture 6: Crawler: Custom Classifiers

Lecture 7: Demo: Creating Custom Classifiers

Lecture 8: Table Partitions: Overview

Lecture 9: Demo: Table Partitions

Lecture 10: Table Partitions Index: Overview

Lecture 11: Demo: Table Partition Index

Lecture 12: Column Statistics: Overview

Lecture 13: Demo: Column Statistics

Lecture 14: Data Discovery : Notes & References

Chapter 5: Building ETL Jobs with Visual ETL

Lecture 1: Building ETL Jobs: Overview

Lecture 2: Visual ETL: Overview

Lecture 3: Visual ETL: Features

Lecture 4: [Optional] Apache Spark 101

Lecture 5: Built In and Custom Transforms: Quick Note

Lecture 6: Built-in Transforms

Lecture 7: Build-In Transforms – Notes

Lecture 8: Demo: Custom Transform

Lecture 9: Visual ETL: Notes and References

Chapter 6: Building ETL Jobs with Script Editor

Lecture 1: AWS Glue Script Editor

Lecture 2: Apache Spark API : Core Modules

Lecture 3: AWS Glue API : Core Modules

Lecture 4: Demo: Build ETL with Script Editor – Spark

Lecture 5: Script Editor : Notes & References

Chapter 7: Build ETL Jobs with Python Shell

Lecture 1: Python Shell Job in AWS Glue

Lecture 2: [Optional] Pandas – 101

Lecture 3: [Optional] AWS SDK for Python|Boto3 – 101

Lecture 4: Demo : Building ETL Job for Python Shell

Lecture 5: Python Shell : Notes and References

Chapter 8: Build ETL Jobs with Interactive Sessions

Lecture 1: Interactive Sessions: Section Overview

Lecture 2: [optional] Jupyter Notebooks – 101

Lecture 3: Interactive Sessions Overview

Lecture 4: Demo: Building ETL Jobs with Notebook

Lecture 5: Demo: Building Jobs with Jupyter Notebook

Lecture 6: Magic Commands

Lecture 7: Interactive Sessions : Notes & References

Chapter 9: AWS Glue Streaming

Lecture 1: AWS Glue Streaming Overview

Lecture 2: Demo: AWS Glue Streaming – Part 1

Lecture 3: Demo: AWS Glue Streaming – Part 2

Lecture 4: AWS Glue Streaming: Additional Notes

Chapter 10: Building ETL Jobs using Ray

Lecture 1: What is Ray : An Overview

Lecture 2: Enabling Ray with AWS Glue

Lecture 3: Demo: Sample Ray Job using Script Editor

Lecture 4: Demo: Sample Ray Job using Glue Studio Notebooks

Lecture 5: ETL Jobs with Ray: Notes and References

Chapter 11: Job Configuration

Lecture 1: Configuration : Overview

Lecture 2: Glue Versions

Lecture 3: Configuring Properties for Spark Jobs

Lecture 4: Configuring Properties for Python Shell Jobs

Lecture 5: Configuring Properties for Ray Jobs

Lecture 6: AWS CLI – Notes

Lecture 7: [Optional] AWS CLI – 101

Lecture 8: AWS CLI and AWS Glue

Lecture 9: Job Parameters

Lecture 10: Reference : Job Configuration

Chapter 12: Monitoring & Logging

Lecture 1: Job Monitoring

Lecture 2: Standard Metrics – AWS Glue Spark Jobs

Instructors

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Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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