Udemy – [NEW] AWS Certified Data Engineer Associate 2023 – Hands On! | [Update 11/2023]

Udemy – [NEW] AWS Certified Data Engineer Associate 2023 – Hands On! | [Update 11/2023]
English | Tutorial | Size: 7 GB

AWS DEA-C01 certification prep course with exercises. S3, Glue, Kinesis, Redshift, Lambda, Athena, EventBridge, and more

What you’ll learn
Maximize your odds of passing the AWS Certified Data Engineer – Associate (DEA-C01) exam
Design and implement data pipelines with AWS to ingest, store, and transform data
Choose and design data stores, data models, data schemas, and data lifecycles.
Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more
Apply security, governance, and privacy best practices to your AWS data pipelines.
Create data lakes with S3, Glue, Redshift and more
Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more

[v2023: The course is based on the currently available exam guide and practice exam from AWS. This course will be kept updated as new beta and final exams are released by Amazon. Happy learning! ]

The AWS Certified Data Engineer Associate Exam (DEA-C01 or DE1-C01) is one of the most challenging associate-level certification exams you can take from Amazon Web Services, and even among the most challenging overall. Passing it tells employers in no uncertain terms that your knowledge of data pipelines is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the data ingestion, transformation, and orchestration technologies on the exam and how they fit together.

Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we’ve seen. Together, they’ve taught over 2 million people around the world. This course combines Stéphane’s depth on AWS with Frank’s experience in wrangling massive data sets, gleaned during his 9-year career at Amazon itself.

The world of data engineering on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

Streaming and transforming data with Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (MSK)

Queuing messages with Simple Queue Service (SQS)

Orchestrating data pipelines with Amazon AppFlow, Amazon EventBridge, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA)

Transitioning from small to big data with the AWS Database Migration Service (DMS), AWS DataSync, Snow Family, Transfer Family, and more

Storing massive data lakes with the Simple Storage Service (S3) and managing data lifecycles

Optimizing transactional queries with DynamoDB, DocumentDB, Keyspaces, and MemoryDB

Tying your big data systems together with AWS Lambda

Making unstructured data query-able with AWS Glue, Glue DataBrew, and Lake Formation

Processing data at unlimited scale with Elastic MapReduce, including Apache Spark

Applying advanced machine learning algorithms at scale with Amazon SageMaker

Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service

Querying S3 data lakes with Amazon Athena

Hosting massive-scale data warehouses with Redshift and Redshift Spectrum

Integrating smaller data with your big data, using the Relational Database Service (RDS)

Visualizing your data interactively with Quicksight

Keeping your data secure with encryption, KMS, Macie, Secrets Manager, IAM, and more

Managing and governing your systems with CloudFormation, CloudTrail, CloudWatch, AWS Config, and more

Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on demos and practice questions. We’ll also arm you with some valuable test-taking tips and strategies along the way.

Although this is an associate-level exam, it is one of the more challenging ones. AWS recommends having a few years of both data engineering experience and AWS experience before tackling it. This exam is not intended for AWS beginners.

You want to go into the AWS Certified Data Engineer Associate Exam with confidence, and that’s what this course delivers. Hit the enroll button, and we’re excited to see you in the course… and ultimately to see you get your certification!

– – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – –


My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.

I have already taught 1,500,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!

With AWS becoming the centerpiece of today’s modern IT architectures, I have decided it is time for students to learn how to be an AWS Data Analytics Professional. So, let’s kick start the course! You are in good hands!

– – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – –


Hey, I’m Frank Kane, and I’m also co-instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I’m best known for my top-selling courses in “big data”, data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch.

I’ve been teaching on Udemy since 2015, where I’ve reached over 750,000 students all around the world!

I’ve worked hard to keep this course up to date with the latest developments in AWS data analytics, and to make sure you’re prepared for the latest version of this exam. Let’s dive in and get you ready!

– – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – –

This course also comes with:

Lifetime access to all future updates

A responsive instructor in the Q&A Section

Udemy Certificate of Completion Ready for Download

Buy Long-term Premium Accounts To Support Me & Max Speed



If any links die or problem unrar, send request to goo.gl/aUHSZc

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.