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Noreen Hasan
In this course, *Processing Serverless Data Using AWS Lambda*, you’ll learn how to utilize AWS Lambda to serve your business needs as a data professional. You’ll unpack Lambda and learn how to use it to transform data and build basic ETL pipelines. First, you’ll explore AWS Lambda. Next, you’ll discover how to utilize it to transform data. Finally, you’ll learn how to use AWS Lambda’s layers to import any custom libraries needed to customize your data processing needs. When you’re finished with this course, you’ll have the skills and knowledge of AWS Lambda needed to process data.
Register for this course and see more details by visiting:
OpenCourser.com/course/zsa8xr/processing
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides strong foundation for beginners in processing serverless data using AWS Lambda
Covers concepts essential for data professionals seeking to enhance their ETL pipeline development
Utilizes AWS Lambda, a widely adopted cloud computing service
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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 Processing Serverless Data Using AWS Lambda with these
activities:
Review Serverless Architectures by Sam Newman
Show steps
This book will provide you with a comprehensive overview of serverless architectures. By reading this book, you will gain a deeper understanding of the benefits and challenges of using serverless technologies.
View
Building Microservices: Designing Fine-Grained...
on Amazon
Show steps
-
Read the introduction and first three chapters.
-
Take notes on the key concepts covered in each chapter.
Review data processing concepts
Show steps
Reviewing AWS Lambda functions, serverless computing, and big data processing concepts will help you gain a strong foundation for this course. This will help you better understand the course materials and apply them to your own projects.
Browse courses on
Lambda Functions
Show steps
-
Read through course syllabus
-
Review online documentation for AWS Lambda and related services
-
Complete any pre-requisite coursework or tutorials on data processing
Review Cloud Computing Technologies by Rajkumar Buyya
Show steps
Start the course with a solid foundation in cloud computing. This book will ensure that important foundational concepts are clear to you before you begin this course.
View
Machine Learning for Cloud Management
on Amazon
Show steps
-
Read the introduction and first three chapters.
-
Take notes on the key concepts covered in each chapter.
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Compile a collection of resources on AWS Lambda data processing
Show steps
Organize and curate a valuable repository of resources for further learning and reference.
Browse courses on
AWS Lambda
Show steps
-
Identify and gather relevant resources
-
Organize resources into logical categories
-
Share your compilation with others
Join a study group for AWS Lambda data processing
Show steps
Collaborate with peers to discuss concepts and exchange knowledge related to data processing using AWS Lambda.
Browse courses on
AWS Lambda
Show steps
-
Find or create a study group
-
Set regular meeting times
-
Discuss topics and share resources
Follow the AWS Serverless Tutorial
Show steps
This tutorial will provide you with a hands-on introduction to AWS Serverless. By completing the tutorial, you will gain a practical understanding of how to use AWS Serverless to build serverless applications.
Show steps
-
Set up the AWS Serverless environment.
-
Walk through the steps in the tutorial.
Follow tutorials on AWS Lambda for ETL pipelines
Show steps
Enhance your knowledge of building ETL pipelines using AWS Lambda by following guided tutorials.
Browse courses on
AWS Lambda
Show steps
-
Identify tutorials on ETL pipelines with AWS Lambda
-
Follow the tutorials step-by-step
-
Replicate the pipeline in your own AWS account
Follow the AWS Lambda Tutorial
Show steps
This tutorial will provide you with a hands-on introduction to AWS Lambda. By completing the tutorial, you will gain a practical understanding of how to use Lambda to process data.
Browse courses on
AWS Lambda
Show steps
-
Set up the AWS Lambda environment.
-
Walk through the steps in the tutorial.
Practice Writing Lambda Functions
Show steps
Writing code is central to what you will do in this course. This activity will ensure that your coding skills are sharp as you approach this course.
Browse courses on
AWS Lambda
Show steps
-
Brainstorm a few simple data processing tasks that you can implement using Lambda.
-
Write the Lambda functions to implement these tasks.
-
Test your Lambda functions to make sure they work as expected.
Practice Building Serverless Applications
Show steps
Developing serverless applications is more efficient than more traditional methods. This will help you pick up new skills you can immediately apply.
Browse courses on
Serverless Applications
Show steps
-
Brainstorm a few simple serverless applications that you can build.
-
Build the serverless applications using AWS Serverless.
-
Test your serverless applications to make sure they work as expected.
Follow tutorials on AWS Lambda
Show steps
Guided tutorials will help you gain hands-on experience with AWS Lambda, allowing you to apply the concepts you learn in the course to practical scenarios. This will reinforce your understanding and prepare you for real-world applications.
Show steps
-
Search for tutorials on AWS Lambda
-
Follow step-by-step instructions to create and deploy your own Lambda functions
-
Experiment with different use cases and configurations
Practice data transformations in AWS Lambda
Show steps
Reinforce your understanding of data transformations in AWS Lambda by solving coding challenges.
Show steps
-
Set up your AWS Lambda environment
-
Create a basic data transformation function
-
Test and debug your function
-
Solve coding challenges involving data transformations
Complete practice exercises on AWS Lambda
Show steps
Practice exercises will provide you with opportunities to test your understanding of Lambda and apply your skills in various scenarios. This will help you identify areas where you need improvement and reinforce your learning.
Show steps
-
Find online practice exercises or quizzes on AWS Lambda
-
Complete the exercises to test your knowledge
-
Review your results and identify areas for improvement
Develop a data processing application using AWS Lambda
Show steps
Apply your skills by creating a real-world data processing application using AWS Lambda.
Browse courses on
AWS Lambda
Show steps
-
Define the requirements of your application
-
Design and implement the Lambda function
-
Set up necessary infrastructure and services
-
Test and deploy your application
Build a Simple Serverless Web Application
Show steps
This project will allow you to apply the skills you learn in this course to a real-world problem. By building a serverless web application, you will gain experience with the entire web application development lifecycle.
Show steps
-
Define the scope of your project.
-
Design the architecture of your application.
-
Implement your application using AWS Serverless.
Attend a workshop on advanced AWS Lambda techniques
Show steps
Gain in-depth knowledge and hands-on experience with advanced AWS Lambda techniques.
Browse courses on
AWS Lambda
Show steps
-
Research and find a relevant workshop
-
Register for the workshop
-
Attend the workshop and participate actively
Build a Simple Serverless Data Processing Pipeline
Show steps
This project will allow you to apply the skills you learn in this course to a real-world problem. By building a data processing pipeline, you will gain experience with the entire data processing lifecycle.
Browse courses on
Serverless Data Processing
Show steps
-
Define the scope of your project.
-
Design the architecture of your pipeline.
-
Implement your pipeline using AWS Lambda.
Create a blog post or article on a Lambda use case
Show steps
Creating a blog post or article will help you summarize your understanding of Lambda and demonstrate your knowledge to others. Explaining concepts to others can help solidify your understanding and identify areas where you need further reinforcement.
Show steps
-
Choose a specific use case for Lambda
-
Research and gather information on the topic
-
Write a clear and concise blog post or article
-
Share your post or article with others for feedback and discussion
Review Serverless Architectures by Sam Newman
Show steps
This book will provide you with a comprehensive overview of serverless architectures. By reading this book, you will gain a deeper understanding of the benefits and challenges of using serverless technologies.
View
Building Microservices: Designing Fine-Grained...
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and first three chapters.
- Take notes on the key concepts covered in each chapter.
Review data processing concepts
Show steps
Reviewing AWS Lambda functions, serverless computing, and big data processing concepts will help you gain a strong foundation for this course. This will help you better understand the course materials and apply them to your own projects.
Browse courses on
Lambda Functions
Show steps
Show steps
Show steps
- Read through course syllabus
- Review online documentation for AWS Lambda and related services
- Complete any pre-requisite coursework or tutorials on data processing
Review Cloud Computing Technologies by Rajkumar Buyya
Show steps
Start the course with a solid foundation in cloud computing. This book will ensure that important foundational concepts are clear to you before you begin this course.
View
Machine Learning for Cloud Management
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and first three chapters.
- Take notes on the key concepts covered in each chapter.
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Compile a collection of resources on AWS Lambda data processing
Show steps
Organize and curate a valuable repository of resources for further learning and reference.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Identify and gather relevant resources
- Organize resources into logical categories
- Share your compilation with others
Join a study group for AWS Lambda data processing
Show steps
Collaborate with peers to discuss concepts and exchange knowledge related to data processing using AWS Lambda.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Find or create a study group
- Set regular meeting times
- Discuss topics and share resources
Follow the AWS Serverless Tutorial
Show steps
This tutorial will provide you with a hands-on introduction to AWS Serverless. By completing the tutorial, you will gain a practical understanding of how to use AWS Serverless to build serverless applications.
Show steps
Show steps
Show steps
- Set up the AWS Serverless environment.
- Walk through the steps in the tutorial.
Follow tutorials on AWS Lambda for ETL pipelines
Show steps
Enhance your knowledge of building ETL pipelines using AWS Lambda by following guided tutorials.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Identify tutorials on ETL pipelines with AWS Lambda
- Follow the tutorials step-by-step
- Replicate the pipeline in your own AWS account
Follow the AWS Lambda Tutorial
Show steps
This tutorial will provide you with a hands-on introduction to AWS Lambda. By completing the tutorial, you will gain a practical understanding of how to use Lambda to process data.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Set up the AWS Lambda environment.
- Walk through the steps in the tutorial.
Practice Writing Lambda Functions
Show steps
Writing code is central to what you will do in this course. This activity will ensure that your coding skills are sharp as you approach this course.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Brainstorm a few simple data processing tasks that you can implement using Lambda.
- Write the Lambda functions to implement these tasks.
- Test your Lambda functions to make sure they work as expected.
Practice Building Serverless Applications
Show steps
Developing serverless applications is more efficient than more traditional methods. This will help you pick up new skills you can immediately apply.
Browse courses on
Serverless Applications
Show steps
Show steps
Show steps
- Brainstorm a few simple serverless applications that you can build.
- Build the serverless applications using AWS Serverless.
- Test your serverless applications to make sure they work as expected.
Follow tutorials on AWS Lambda
Show steps
Guided tutorials will help you gain hands-on experience with AWS Lambda, allowing you to apply the concepts you learn in the course to practical scenarios. This will reinforce your understanding and prepare you for real-world applications.
Show steps
Show steps
Show steps
- Search for tutorials on AWS Lambda
- Follow step-by-step instructions to create and deploy your own Lambda functions
- Experiment with different use cases and configurations
Practice data transformations in AWS Lambda
Show steps
Reinforce your understanding of data transformations in AWS Lambda by solving coding challenges.
Show steps
Show steps
Show steps
- Set up your AWS Lambda environment
- Create a basic data transformation function
- Test and debug your function
- Solve coding challenges involving data transformations
Complete practice exercises on AWS Lambda
Show steps
Practice exercises will provide you with opportunities to test your understanding of Lambda and apply your skills in various scenarios. This will help you identify areas where you need improvement and reinforce your learning.
Show steps
Show steps
Show steps
- Find online practice exercises or quizzes on AWS Lambda
- Complete the exercises to test your knowledge
- Review your results and identify areas for improvement
Develop a data processing application using AWS Lambda
Show steps
Apply your skills by creating a real-world data processing application using AWS Lambda.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Define the requirements of your application
- Design and implement the Lambda function
- Set up necessary infrastructure and services
- Test and deploy your application
Build a Simple Serverless Web Application
Show steps
This project will allow you to apply the skills you learn in this course to a real-world problem. By building a serverless web application, you will gain experience with the entire web application development lifecycle.
Show steps
Show steps
Show steps
- Define the scope of your project.
- Design the architecture of your application.
- Implement your application using AWS Serverless.
Attend a workshop on advanced AWS Lambda techniques
Show steps
Gain in-depth knowledge and hands-on experience with advanced AWS Lambda techniques.
Browse courses on
AWS Lambda
Show steps
Show steps
Show steps
- Research and find a relevant workshop
- Register for the workshop
- Attend the workshop and participate actively
Build a Simple Serverless Data Processing Pipeline
Show steps
This project will allow you to apply the skills you learn in this course to a real-world problem. By building a data processing pipeline, you will gain experience with the entire data processing lifecycle.
Browse courses on
Serverless Data Processing
Show steps
Show steps
Show steps
- Define the scope of your project.
- Design the architecture of your pipeline.
- Implement your pipeline using AWS Lambda.
Create a blog post or article on a Lambda use case
Show steps
Creating a blog post or article will help you summarize your understanding of Lambda and demonstrate your knowledge to others. Explaining concepts to others can help solidify your understanding and identify areas where you need further reinforcement.
Show steps
Show steps
Show steps
- Choose a specific use case for Lambda
- Research and gather information on the topic
- Write a clear and concise blog post or article
- Share your post or article with others for feedback and discussion
Career center
Learners who complete Processing Serverless Data Using AWS Lambda will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are experts in interpreting data patterns by utilizing skills such as statistics and logical reasoning. They are vital in the identification and solution of business challenges by helping to define questions to be answered by data. The field of Data Analysis is rapidly evolving, and this course on Processing Serverless Data Using AWS Lambda can help you stay ahead of the curve. This course will provide you with the knowledge and skills needed to use AWS Lambda to transform data and perform basic data extraction, transformation, and loading (ETL). Whether you are looking to enter or advance your career as a Data Analyst, this course can help you develop the skills you need.
Data Engineer
Data Engineer
Data Engineers provide organizations with the infrastructure and tools necessary to manage and analyze data. They use their skills to develop and maintain data pipelines and ensure that data is clean, consistent, and accessible. If you are interested in a career as a Data Engineer, this course on Processing Serverless Data Using AWS Lambda can help you build a strong foundation. In this course, you will learn the basics of AWS Lambda, a serverless computing service that allows you to run code without having to manage servers. You will also learn how to use AWS Lambda to transform and analyze data. Completing this course can help prepare you for a successful career as a Data Engineer.
Data Architect
Data Architect
Data Architects are responsible for designing and managing the architecture of data systems. They work with stakeholders to understand their data needs and design systems to meet those needs. If you are interested in a career as a Data Architect, this course on Processing Serverless Data Using AWS Lambda can be a helpful addition to your skillset. In this course, you will learn how to use AWS Lambda to build serverless data pipelines. You will also learn how to use AWS Lambda's layers to import custom libraries, allowing you to customize your data processing needs. Completing this course can help you develop the skills necessary for a successful career as a Data Architect.
Big Data Architect
Big Data Architect
Big Data Architects are responsible for designing and managing big data solutions. They work with stakeholders to understand their business needs and design solutions that meet those needs. If you are interested in a career as a Big Data Architect, this course on Processing Serverless Data Using AWS Lambda can be a helpful addition to your skillset. In this course, you will learn how to use AWS Lambda to build serverless data pipelines. You will also learn how to use AWS Lambda's layers to import custom libraries, allowing you to customize your data processing needs. Completing this course can help you develop the skills necessary for a successful career as a Big Data Architect.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and managing cloud computing solutions. They work with stakeholders to understand their business needs and design solutions that meet those needs. If you are interested in a career as a Cloud Architect, this course on Processing Serverless Data Using AWS Lambda can be a helpful addition to your skillset. In this course, you will learn how to use AWS Lambda to build serverless data pipelines. You will also learn how to use AWS Lambda's layers to import custom libraries, allowing you to customize your data processing needs. Completing this course can help you develop the skills necessary for a successful career as a Cloud Architect.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work with stakeholders to understand their needs and design and develop software solutions that meet those needs.
Data Scientist
Data Scientist
Data Scientists are responsible for using data to solve business problems. They work with stakeholders to understand their business needs and use data to develop solutions that meet those needs.
Database Administrator
Database Administrator
Database Administrators are responsible for the management and maintenance of databases. They work with stakeholders to understand their data needs and design and implement database solutions that meet those needs.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing and developing machine learning models. They work with stakeholders to understand their business needs and use machine learning to develop solutions that meet those needs.
Data Analytics Consultant
Data Analytics Consultant
Data Analytics Consultants provide organizations with guidance on how to use data to solve business problems. They work with stakeholders to understand their business needs and develop strategies to use data to improve decision-making.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They work with stakeholders to understand their business needs and develop solutions that meet those needs.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. They work with stakeholders to define project goals and objectives and develop plans to achieve those goals.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts are responsible for developing and implementing data privacy policies and procedures. They work with stakeholders to understand their data privacy requirements and develop plans to protect data from unauthorized access, use, or disclosure.
Data Management Analyst
Data Management Analyst
Data Management Analysts are responsible for developing and implementing data management strategies. They work with stakeholders to understand their data needs and develop plans to manage and use data effectively.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. They work with stakeholders to define data governance requirements and develop plans to ensure that data is managed and used in a consistent and compliant manner.
For more career information including salaries, visit:
OpenCourser.com/course/zsa8xr/processing
Reading list
We've selected six 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
Processing Serverless Data Using AWS Lambda.
Provides an overview of serverless architectures on AWS, including how to use Lambda for data processing. It good resource for anyone who wants to learn more about serverless architectures.
Provides a concise overview of data processing techniques using AWS Lambda. It covers data ingestion, transformation, and analysis, offering practical insights that enrich the course's core concepts.
Provides a collection of patterns for building serverless applications. It includes a pattern for using Lambda for data processing.
Provides a guide to data science on AWS. It includes a section on how to use Lambda for data processing.
Save
Provides a beginner-friendly introduction to Java, the programming language often used in AWS Lambda functions. It can serve as a helpful resource for learners with limited Java experience or those who want to brush up on their fundamentals.
Focuses on Python programming specifically for data analysis. It covers data structures, manipulation, and visualization techniques, providing a practical foundation for learners who want to use Python for data processing tasks in Lambda functions.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zsa8xr/processing
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Time
210 hours
Level
Advanced
Via
Pluralsight
Instructor
Noreen Hasan
Language
English
Good to know
Provides strong foundation for beginners in processing serverless data using AWS Lambda
Covers concepts essential for data professionals seeking to enhance their ETL pipeline development
Utilizes AWS Lambda, a widely adopted cloud computing service
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