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AWS Instructor

With AWS Glue, you can discover, prepare, and combine data for various purposes, including analytics, machine learning (ML), and application development.

In this course, you will learn the benefits and technical concepts of AWS Glue. If you are new to the service, you will learn how to start using AWS Glue through a demonstration using the AWS Management Console. You will learn about the architecture and how the built-in features can help you streamline data preparation.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explains data preparation and its benefits, emphasizing its applications in business intelligence, ML, and application development
Provides foundational knowledge for those starting with AWS Glue, with a demonstration to guide beginners
Introduces the architecture of AWS Glue, highlighting its key features and their role in streamlining data preparation processes

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Reviews summary

Foundational introduction to aws glue

According to learners, this course serves as an excellent starting point for understanding AWS Glue, especially for those new to the service. Many found the conceptual explanations very clear and the console demonstrations easy to follow, which is beneficial for grasping practical applications. While it provides a solid foundational overview, students noted it lacks deeper technical dives or hands-on coding examples, focusing primarily on console-based operations. It's ideal for a basic understanding, but not for advanced implementation.
Benefits from prior AWS knowledge, though for beginners.
"I had some prior AWS knowledge, which helped, but a complete beginner might find it challenging without additional resources."
"While it's 'getting started', I feel a basic understanding of core AWS services helps to fully appreciate the content."
Meets expectations for a foundational overview, not deep dive.
"For a 'getting started' course, it met my expectations perfectly. I appreciate the focus on the fundamentals."
"The course delivers on its promise of 'getting started'. I learned the basics... nothing more, nothing less."
"The title 'Getting Started' is very accurate; it serves its purpose as an entry point into AWS Glue very well."
Helpful, easy-to-follow practical demos using the console.
"The console demonstrations were easy to follow and helped me grasp the practical application."
"I liked the focus on the AWS management console, which made it very accessible and useful for learning."
"The practical demos were very useful for seeing how AWS Glue works in a real environment without complex setup."
Offers a clear, concise introduction to AWS Glue concepts.
"This course is an excellent starting point for anyone new to AWS Glue. The explanations of concepts like Data Catalog and crawlers were very clear."
"I found it to be a very helpful course in understanding the core benefits and architecture of AWS Glue. The instructor explained complex topics simply."
"The initial conceptual parts were clear, and it really helped demystify the architecture for me."
Primarily basic; lacks advanced topics and coding examples.
"It covers the basics well, but I wished for a bit more on advanced ETL scenarios or integration with other services like Lambda."
"I came in expecting some hands-on coding examples with Glue, but it was all console-based. It's not a practical course for someone who needs to write PySpark scripts."
"Found this course to be too basic. As someone with prior experience, I was hoping for more advanced topics or real-world use cases."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AWS Glue Getting Started with these activities:
Review Python programming basics
Ensures proficiency in Python, a key language for working with AWS Glue.
Show steps
  • Review online courses or tutorials on Python basics
  • Practice writing Python code in an interactive environment
Review AWS documentation on data analytics
Reviewing data analytics documentation will help refresh your knowledge of key concepts and prepare you for this course.
Browse courses on Data Analytics
Show steps
  • Choose a relevant article on the AWS documentation website.
  • Read the article thoroughly and make notes.
  • Complete any code exercises provided in the article.
  • Review your notes and summarize the key takeaways in your own words.
Review data preparation best practices
Refreshes knowledge of data preparation techniques, ensuring a solid foundation for understanding AWS Glue.
Browse courses on Data Normalization
Show steps
  • Review articles and documentation on data preparation methodologies
  • Go through online tutorials on data cleansing and normalization
Four other activities
Expand to see all activities and additional details
Show all seven activities
Complete the AWS Glue tutorial
Completing the AWS Glue tutorial will provide you with hands-on experience with the service and help you get started with your own projects.
Browse courses on AWS Glue
Show steps
  • Sign up for an AWS account.
  • Follow the steps in the AWS Glue tutorial.
  • Complete the tutorial exercises.
  • Review the tutorial documentation.
Create a data analytics project proposal
Creating a project proposal will allow you to apply your understanding of data analytics and AWS Glue to a specific problem.
Browse courses on Data Analytics
Show steps
  • Identify a problem statement.
  • Research potential solutions using AWS Glue.
  • Design a data model and ETL pipeline.
  • Estimate the resources and time required.
  • Present your proposal to a peer or mentor for feedback.
Attend a local AWS Meetup
Attending a local AWS Meetup will provide you with an opportunity to network with other data professionals and learn about new technologies.
Show steps
  • Find a local AWS Meetup group.
  • Register for an upcoming event.
  • Attend the event and introduce yourself to at least three people.
Build a data preparation pipeline using AWS Glue
Applies AWS Glue concepts in a practical setting, solidifying understanding of data preparation and transformation.
Show steps
  • Design a data preparation pipeline using AWS Glue
  • Implement the pipeline using AWS Glue Studio or Python
  • Test and validate the pipeline
  • Document the pipeline and its functionalities

Career center

Learners who complete AWS Glue Getting Started will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. AWS Glue can be used to prepare and combine data for use in machine learning models. This course can help you build a foundation in AWS Glue, which can be useful for a career in Machine Learning Engineering.
Data Scientist
Data Scientists use data to build models that can predict future outcomes. AWS Glue can be used to prepare and combine data for use in machine learning models. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Science.
Data Integration Engineer
Data Integration Engineers design and build data pipelines that move data between different systems. AWS Glue is a data integration tool, so a Data Integration Engineer should have a good understanding of how it works. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Integration Engineering.
Data Warehouse Engineer
Data Warehouse Engineers design and build data warehouses. AWS Glue can be used to help build and manage data warehouses. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Warehouse Engineering.
Data Architect
Data Architects design and manage data systems. AWS Glue can be used to build data pipelines and data lakes. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Architecture.
Data Engineer
Data Engineers design, build, and maintain data pipelines that make data available to Data Analysts and other stakeholders. AWS Glue is a valuable tool for Data Engineers because it can help them automate many of the tasks involved in data preparation. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Engineering.
Cloud Architect
Cloud Architects design and manage cloud computing systems. AWS Glue is a cloud-based service, so a Cloud Architect should have a good understanding of how it works. This course can help you build a foundation in AWS Glue, which can be useful for a career in Cloud Architecture.
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures for managing data. AWS Glue can be used to help enforce data governance policies. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Governance Analysis.
Data Quality Analyst
Data Quality Analysts ensure that data is accurate and complete. AWS Glue can be used to help improve data quality. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Quality Analysis.
Data Privacy Analyst
Data Privacy Analysts help businesses comply with data privacy regulations. AWS Glue can be used to help protect data privacy. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Privacy Analysis.
Information Security Analyst
Information Security Analysts help businesses protect their data from security threats. AWS Glue can be used to help improve data security. This course can help you build a foundation in AWS Glue, which can be useful for a career in Information Security Analysis.
Business Analyst
Business Analysts help businesses understand their data and make better decisions. AWS Glue can be used to prepare and combine data for analysis. This course can help you build a foundation in AWS Glue, which can be useful for a career in Business Analysis.
Data Analyst
Data Analysts discover patterns, trends, and insights that can help businesses make better decisions. One common technology that Data Analysts use is AWS Glue, which helps them prepare and combine data for analysis. This course can help you build a foundation in AWS Glue, which can be useful for a career in Data Analysis.
Software Engineer
Software Engineers design, develop, and maintain software applications. AWS Glue is a software application, so a Software Engineer should have a good understanding of how it works. This course can help you build a foundation in AWS Glue, which can be useful for a career in Software Engineering.
Database Administrator
Database Administrators manage and maintain databases. AWS Glue is a database management tool, so a Database Administrator should have a good understanding of how it works. This course can help you build a foundation in AWS Glue, which can be useful for a career in Database Administration.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AWS Glue Getting Started.
Provides a practical guide to using AWS Lambda. It covers topics such as function creation, event handling, and debugging. It valuable resource for anyone who wants to learn more about using AWS Lambda.
Provides a comprehensive overview of serverless architectures on AWS. It covers topics such as serverless design principles, serverless services, and serverless security. It valuable resource for anyone who wants to learn more about serverless architectures and how to use AWS to build serverless applications.
This comprehensive guide to Hadoop provides a solid foundation for understanding the principles and practices of big data processing. While it doesn't specifically cover AWS Glue, it offers valuable insights into the underlying concepts.
This classic book provides a comprehensive overview of data warehousing concepts and best practices. It's a valuable resource for understanding the principles of data integration and management, which are relevant to AWS Glue.
This widely used textbook provides a comprehensive introduction to data mining techniques. While it doesn't directly cover AWS Glue, it offers a strong foundation for understanding the concepts of data analysis and machine learning.
Provides a practical guide to using AWS Redshift. It covers topics such as data loading, query optimization, and performance tuning. It valuable resource for anyone who wants to learn more about using AWS Redshift.
Provides a comprehensive overview of machine learning algorithms and techniques using Python. It's a valuable resource for anyone interested in exploring machine learning applications in AWS Glue.
Provides a comprehensive introduction to Python programming for data analysis. It covers topics like data manipulation, visualization, and statistical modeling, which are useful for working with AWS Glue.
Provides a comprehensive overview of data warehousing and dimensional modeling. It's a valuable resource for understanding the principles of data integration and management, which are relevant to AWS Glue.
Provides a broad overview of cloud computing concepts, technologies, and architecture. It's a valuable resource for understanding the underlying principles of AWS Glue and other cloud-based services.

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