Data Engineering on AWS - Foundations
In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts should be taken into consideration for data engineers.
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In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts should be taken into consideration for data engineers.
In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts should be taken into consideration for data engineers.
The course is divided into different modules. With the learning modules, you will learn new concepts and get introduced to AWS services to build your solution.
In this course you will learn to:
- Describe the data engineering role and personas they work with.
- Identify how to perform data discovery to help define requirements and review considerations.
- Identify common data architectures and appropriate AWS services.
- Recognize how to orchestrate and automate data pipelines using AWS services.
- Identify AWS security and monitoring services.
- Identify common CI/CD tools used by data engineers on AWS.
- Identify IaC tools used by data engineers on AWS.
- Describe AWS Serverless Application Model (AWS SAM).
- Identify AWS cost optimization tools.
- Identify different AWS security mechanisms.
What's inside
Syllabus
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Activities
Organize Course Materials
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Enhance your learning experience by organizing course materials, notes, and assignments to improve your retention and recall.
Show steps
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Create a system for organizing notes, assignments, and quizzes.
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Review and summarize key concepts from each module.
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Identify areas where additional research or practice is needed.
Seek Guidance from Experienced Data Engineers
Show steps
Enhance your learning by connecting with experienced data engineers who can provide valuable insights and mentorship.
Show steps
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Attend industry events or conferences to meet data engineers.
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Reach out to data engineering professionals on LinkedIn or other networking platforms.
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Request informational interviews to learn from their experiences and advice.
Explore AWS Data Services
Show steps
Supplement your learning by exploring tutorials on AWS data services to enhance your understanding of their functionality.
Browse courses on
AWS Cloud Services
Show steps
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Search for tutorials on AWS S3, Redshift, and Athena.
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Follow step-by-step guides to create and manage data pipelines using AWS services.
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Experiment with different AWS data services to gain practical experience.
Two other activities
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Solve Data Engineering Challenges
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Sharpen your data engineering skills by solving real-world challenges to reinforce your understanding of the course material.
Browse courses on
Data Transformation
Show steps
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Find online platforms or resources that provide data engineering challenges.
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Attempt to solve challenges related to data ingestion, transformation, and analytics.
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Analyze your solutions and identify areas for improvement.
Mentor Junior Data Engineers
Show steps
Reinforce your understanding by mentoring junior data engineers, answering their questions, and sharing your knowledge.
Show steps
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Volunteer to mentor junior data engineers through online forums or organizations.
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Provide guidance on data engineering concepts, tools, and best practices.
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Review and critique their work, offering constructive feedback.
Organize Course Materials
Show steps
Enhance your learning experience by organizing course materials, notes, and assignments to improve your retention and recall.
Show steps
- Create a system for organizing notes, assignments, and quizzes.
- Review and summarize key concepts from each module.
- Identify areas where additional research or practice is needed.
Seek Guidance from Experienced Data Engineers
Show steps
Enhance your learning by connecting with experienced data engineers who can provide valuable insights and mentorship.
Show steps
- Attend industry events or conferences to meet data engineers.
- Reach out to data engineering professionals on LinkedIn or other networking platforms.
- Request informational interviews to learn from their experiences and advice.
Explore AWS Data Services
Show steps
Supplement your learning by exploring tutorials on AWS data services to enhance your understanding of their functionality.
Browse courses on
AWS Cloud Services
Show steps
- Search for tutorials on AWS S3, Redshift, and Athena.
- Follow step-by-step guides to create and manage data pipelines using AWS services.
- Experiment with different AWS data services to gain practical experience.
Solve Data Engineering Challenges
Show steps
Sharpen your data engineering skills by solving real-world challenges to reinforce your understanding of the course material.
Browse courses on
Data Transformation
Show steps
- Find online platforms or resources that provide data engineering challenges.
- Attempt to solve challenges related to data ingestion, transformation, and analytics.
- Analyze your solutions and identify areas for improvement.
Mentor Junior Data Engineers
Show steps
Reinforce your understanding by mentoring junior data engineers, answering their questions, and sharing your knowledge.
Show steps
- Volunteer to mentor junior data engineers through online forums or organizations.
- Provide guidance on data engineering concepts, tools, and best practices.
- Review and critique their work, offering constructive feedback.
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