We may earn an affiliate commission when you visit our partners.
Dan Tofan
This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)
Read more
This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)
Read more
This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)
Learning the fundamentals of data processing with AWS is not as difficult as it may seem. In this course, Processing Data on AWS, you will learn how to process large amounts of data on AWS. First, you’ll explore data processing with Lambda and Glue. Next, you’ll discover the basics of the Hadoop ecosystem and how to use it with AWS EMR. Finally, you’ll learn how to automate data processing using AWS Data Pipeline. When you’re finished with this course, you’ll have the skills and knowledge of the AWS services needed to process large amounts of data on AWS and get certified in it.
This course is no longer available. Find something similar by browsing:
AWS Lambda
AWS Glue
Apache Hadoop
AWS EMR
AWS Data Pipeline
Big Data
Cloud Data Processing
Register for this course and see more details by visiting:
OpenCourser.com/course/hvwgp7/processing
What's inside
Syllabus
Course Overview
Processing Data with Lambda and Glue
Understanding the Hadoop Ecosystem
Processing Data with EMR
Read more
Syllabus
Course Overview
Processing Data with Lambda and Glue
Understanding the Hadoop Ecosystem
Processing Data with EMR
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Suitable for those studying for the AWS Certified Data Analytics specialty certification
Taught by Dan Tofan, an instructor who is recognized for expertise in data processing
Explores up-to-date data processing tools, such as Lambda and Glue
Develops a strong foundation in data processing using AWS services
Provides insights into the Hadoop ecosystem
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Mastering aws data processing for certification
According to learners, this course offers a highly effective path to processing data on AWS, especially for the AWS Certified Data Analytics specialty certification. Students frequently commend the instructor's clear explanations of services like Lambda, Glue, and EMR, and the practical, hands-on labs that significantly solidify understanding. It's noted for its well-structured content and excellent pacing, providing a solid foundation. While some found the Hadoop and EMR sections high-level or needing prior knowledge, it largely provides valuable, immediately applicable skills, making it a must-take for certification prep.
Good foundation, but some parts may require prior knowledge or additional study.
"It's a good overview, but I wish there were more advanced examples or troubleshooting scenarios, especially for EMR, as it's not deep enough for expert-level users."
"I found some parts felt a bit rushed, especially the Hadoop ecosystem overview. I had to do a lot of external reading to fully grasp the concepts before moving to EMR."
"I struggled with the EMR labs because the prerequisites weren't clearly articulated, leading to a lot of frustration. I think it needs more detailed instructions for beginners."
"The EMR and Hadoop part felt rushed and hard to follow without prior extensive knowledge. I think it's probably better for those with some existing big data background."
The course is well-organized with an appropriate pace for learning.
"Absolutely brilliant! The course is very well structured and covers all the crucial AWS services for data processing..."
"The pacing is perfect, allowing me to grasp concepts without feeling rushed."
"Every module built perfectly on the last."
Practical labs and demos are highly effective for consolidating knowledge.
"The hands-on labs were incredibly helpful and really solidified my understanding."
"I found the practical exercises to be good and valuable."
"I particularly enjoyed the hands-on demos which allowed me to apply what I learned immediately."
"For me, the hands-on coding and projects are the strongest part of the course."
Instructor excels at making complex AWS services easy to understand.
"The instructor explains complex concepts like Glue and EMR in a very digestible way."
"The explanations of Glue and Lambda were very clear."
"I feel the instructor knows their stuff."
"Every module built perfectly on the last, making the learning flow seamless."
Highly recommended for those pursuing the AWS Data Analytics certification.
"I feel much more confident for the AWS Data Analytics certification exam."
"The course is very well structured and covers all the crucial AWS services for data processing as mentioned in the certification guide. I found it provided exactly what I needed to prepare for DAS-C01."
"I highly recommend this for anyone aiming for the AWS Data Analytics certification."
"Truly exceptional. For DAS-C01, I found this course a must-take."
One review mentioned potential for content updates given recent AWS changes.
"My main critique is that some content might be slightly out of date with recent AWS service updates, though the core concepts remain relevant."
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 Data on AWS with these
activities:
Review Data Processing Basics
Show steps
Prepare for success in this course by refreshing your understanding of basic data processing concepts.
Browse courses on
Data Processing
Show steps
-
Review data types, data structures, and data models.
-
Practice manipulating data using basic operations.
-
Explore different data storage options.
Review 'Big Data Analytics with Hadoop' by Rajkumar Buyya
Show steps
Supplement your understanding of Hadoop and its ecosystem by reviewing this comprehensive book.
View
Mastering Cloud Computing: Foundations and...
on Amazon
Show steps
-
Read chapters 2 and 3 to understand Hadoop architecture and components.
-
Read chapter 5 to learn about data processing with Hadoop MapReduce.
Join a Study Group for AWS Data Analytics
Show steps
Enhance your learning experience by connecting with other students in a study group dedicated to AWS Data Analytics.
Show steps
-
Find or create a study group.
-
Meet regularly to discuss course materials and assignments.
-
Collaborate on projects and assignments.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Data Analysis with AWS Lake Formation
Show steps
Solidify your understanding of data processing on AWS by completing hands-on exercises using Lake Formation.
Show steps
-
Create a data lake using AWS Lake Formation.
-
Load data into the data lake.
-
Query data using SQL or Athena.
Explore Real-Time Data Processing with AWS Kinesis
Show steps
Expand your knowledge of data processing by following tutorials on using AWS Kinesis for real-time data ingestion and processing.
Browse courses on
AWS Kinesis
Show steps
-
Set up an AWS Kinesis stream.
-
Create a consumer application to process data from the stream.
-
Analyze the results of the data processing.
Attend an AWS Data Analytics Workshop
Show steps
Deepen your understanding of AWS Data Analytics by attending a workshop that provides hands-on experience with AWS services.
Show steps
-
Register for an AWS Data Analytics workshop.
-
Attend the workshop and actively participate in the exercises.
-
Apply the knowledge gained in the workshop to your own projects.
Practice Data Visualization with AWS QuickSight
Show steps
Enhance your ability to communicate data insights by completing hands-on exercises using AWS QuickSight to create visualizations.
Browse courses on
AWS QuickSight
Show steps
-
Create a QuickSight dashboard.
-
Add charts and graphs to the dashboard.
-
Analyze and interpret the data visualizations.
Build a Data Pipeline using AWS Glue
Show steps
Deepen your knowledge of data processing by building a data pipeline using AWS Glue to extract, transform, and load data.
Browse courses on
AWS Glue
Show steps
-
Design the data pipeline architecture.
-
Create a Glue job to extract data from a source.
-
Create a Glue job to transform the data.
-
Create a Glue job to load the data into a target.
Review Data Processing Basics
Show steps
Prepare for success in this course by refreshing your understanding of basic data processing concepts.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Review data types, data structures, and data models.
- Practice manipulating data using basic operations.
- Explore different data storage options.
Review 'Big Data Analytics with Hadoop' by Rajkumar Buyya
Show steps
Supplement your understanding of Hadoop and its ecosystem by reviewing this comprehensive book.
View
Mastering Cloud Computing: Foundations and...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 2 and 3 to understand Hadoop architecture and components.
- Read chapter 5 to learn about data processing with Hadoop MapReduce.
Join a Study Group for AWS Data Analytics
Show steps
Enhance your learning experience by connecting with other students in a study group dedicated to AWS Data Analytics.
Show steps
Show steps
Show steps
- Find or create a study group.
- Meet regularly to discuss course materials and assignments.
- Collaborate on projects and assignments.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Data Analysis with AWS Lake Formation
Show steps
Solidify your understanding of data processing on AWS by completing hands-on exercises using Lake Formation.
Show steps
Show steps
Show steps
- Create a data lake using AWS Lake Formation.
- Load data into the data lake.
- Query data using SQL or Athena.
Explore Real-Time Data Processing with AWS Kinesis
Show steps
Expand your knowledge of data processing by following tutorials on using AWS Kinesis for real-time data ingestion and processing.
Browse courses on
AWS Kinesis
Show steps
Show steps
Show steps
- Set up an AWS Kinesis stream.
- Create a consumer application to process data from the stream.
- Analyze the results of the data processing.
Attend an AWS Data Analytics Workshop
Show steps
Deepen your understanding of AWS Data Analytics by attending a workshop that provides hands-on experience with AWS services.
Show steps
Show steps
Show steps
- Register for an AWS Data Analytics workshop.
- Attend the workshop and actively participate in the exercises.
- Apply the knowledge gained in the workshop to your own projects.
Practice Data Visualization with AWS QuickSight
Show steps
Enhance your ability to communicate data insights by completing hands-on exercises using AWS QuickSight to create visualizations.
Browse courses on
AWS QuickSight
Show steps
Show steps
Show steps
- Create a QuickSight dashboard.
- Add charts and graphs to the dashboard.
- Analyze and interpret the data visualizations.
Build a Data Pipeline using AWS Glue
Show steps
Deepen your knowledge of data processing by building a data pipeline using AWS Glue to extract, transform, and load data.
Browse courses on
AWS Glue
Show steps
Show steps
Show steps
- Design the data pipeline architecture.
- Create a Glue job to extract data from a source.
- Create a Glue job to transform the data.
- Create a Glue job to load the data into a target.
Career center
Learners who complete Processing Data on AWS will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
As a Data Engineer you will design and construct data pipelines. These pipelines collect, clean, and process vast quantities of data on a regular basis. The Processing Data on AWS course will help build a foundation because it covers data collection and processing with Lambda, Glue, and EMR.
Data Architect
Data Architect
Data Architects construct, manage, and maintain the infrastructure involved in data management and analytics. The Processing Data on AWS course is a beneficial preparation for this role because it contains essential information on the fundamentals of data processing on AWS, the leading provider of cloud computing services.
Data Analyst
Data Analyst
A Data Analyst processes data to extract meaningful insights, usually through statistical analysis. This course is an excellent starting point for this career, with an emphasis on processing large amounts of data on AWS.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts apply data analysis to business problems, providing insights and recommendations to decision makers. This course may be useful because it provides a foundation for processing and analyzing data with AWS tools and services.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing machine learning models.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course may be useful because it provides a foundation for data processing on AWS, a common platform for Data Scientists to use.
Software Engineer
Software Engineer
Software Engineers apply engineering principles to the design, development, testing, deployment, and maintenance of software systems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing software applications.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. This course may be useful because it provides a foundation for data processing on AWS, a major cloud computing provider.
Database Administrator
Database Administrator
Database Administrators maintain and administer database systems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing database systems.
Data Warehouse Analyst
Data Warehouse Analyst
Data Warehouse Analysts design, develop, and maintain data warehouses, which are large-scale data repositories that are used to support business intelligence and data analysis. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing data warehouses.
Systems Analyst
Systems Analyst
Systems Analysts analyze business processes and design and implement computer systems to support them. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing business applications.
Business Analyst
Business Analyst
Business Analysts analyze business processes and data to identify and solve business problems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing business applications.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan, implement, and manage information technology systems within an organization. This course may be useful because it provides a foundation for data processing on AWS, a common platform for deploying and managing IT systems.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may be useful because it provides a foundation for data processing on AWS, a common platform for managing project-related data and applications.
Data Entry Clerk
Data Entry Clerk
Data Entry Clerks input data into computer systems. This course may be useful because it provides a foundation for data processing on AWS, a common platform for managing large amounts of data.
For more career information including salaries, visit:
OpenCourser.com/course/hvwgp7/processing
Reading list
We've selected nine 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 Data on AWS.
Provides a detailed overview of the exam objectives, offering sample questions and practice exams. It is considered essential reading for anyone preparing for the AWS Certified Data Analytics - Specialty (DAS-C01) exam.
This comprehensive book covers the fundamentals of the Hadoop ecosystem, including HDFS, MapReduce, and YARN. It valuable resource for anyone who wants to gain a deep understanding of how Hadoop works and how to use it effectively.
Provides a comprehensive overview of big data analytics, covering everything from the basics of data storage and processing to advanced topics such as machine learning and deep learning. It valuable resource for anyone who wants to learn how to use Hadoop and other big data technologies effectively.
Save
Provides a comprehensive overview of Hadoop operations, covering everything from the basics of cluster configuration to advanced topics such as security and performance tuning. It valuable resource for anyone who is responsible for managing a Hadoop cluster.
Provides a gentle introduction to AWS, covering the basics of how to create and manage AWS resources. It good starting point for anyone who is new to AWS.
Provides a comprehensive overview of Apache Airflow, covering everything from the basics of data pipelines to advanced topics such as scheduling and monitoring. It valuable resource for anyone who wants to learn how to use Airflow effectively.
Save
Provides a comprehensive overview of Hadoop, covering everything from the basics of data storage and processing to advanced topics such as machine learning and deep learning. It valuable resource for anyone who wants to learn how to use Hadoop effectively.
Provides a comprehensive overview of Spark, a data processing engine that is used to process large amounts of data quickly and efficiently. It covers everything from the basics of how Spark works to advanced topics such as machine learning and deep learning. It valuable resource for anyone who wants to learn how to use Spark effectively.
Provides a comprehensive overview of how to use Python for deep learning, covering everything from the basics of deep learning to advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for anyone who wants to learn how to use Python for deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hvwgp7/processing
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser