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92% Off [NEW] AWS Certified Data Engineer Associate 2023 - Hands On! | Udemy Review & Coupon

92% Off [NEW] AWS Certified Data Engineer Associate 2023 - Hands On! | Udemy Review & Coupon

The AWS DEA-C01 certification prep course includes exercises. The services include S3, Glue, Kinesis, Redshift, Lambda, Athena, EventBridge, and many others.

This course covers:

This course is designed to help individuals prepare for the AWS Certified Data Engineer Associate 2023 examination. It provides 21.5 hours of on-demand video, 3 coding exercises, 2 articles, and access on mobile and TV devices for full lifetime access. The course also includes a certificate of completion.

What you'll learn

Increase your chances of passing the AWS Certified Data Engineer - Associate (DEA-C01) exam.

Create and execute data pipelines using AWS to handle the ingestion, storage, and transformation of data.

Select and create data storage systems, data structures, data schemas, and data management processes.

Data pipelines can be maintained, operationalized, and orchestrated using tools such as EventBridge, Airflow, AWS Step Functions, and more.

It is recommended to implement security, governance, and privacy best practices for your AWS data pipelines.

Data lakes can be created using S3, Glue, Redshift, and other tools.

Process batch and streaming data using various tools such as Kinesis, EMR, containers, Lambda, and other options.

About the author

Frank Kane

Frank worked at Amazon and IMDb for a total of 9 years, where he developed and managed the technology responsible for providing product and movie recommendations to millions of customers. Frank has 17 patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.

Due to the large number of students, I am unable to answer private messages; please ask your questions in the Q&A section of your course. Thank you for your understanding.

Stephane Maarek

Stephane is a professional who specializes in solutions architecture, consulting, and software development, with a particular focus on Big Data, Cloud, and API technologies. He is a highly successful instructor on Udemy, with multiple best-selling courses in AWS and Apache Kafka.

Stéphane is recognized as an AWS Hero and holds certifications as an AWS Certified Solutions Architect Professional and AWS Certified DevOps Professional. He enjoys educating individuals on the proper use of AWS, preparing them for their AWS certifications, and equipping them for real-world scenarios.

He also has a fondness for Apache Kafka. He is a member of the 2019 Program Committee organizing the Kafka Summit in New York, London, and San Francisco. He is a member of the Apache Kafka community and has written blogs on Medium and a guest blog for Confluent.

During his free time, he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to various destinations.


The AWS Certified Data Engineer Associate Exam is considered to be one of the most challenging certification exams within Amazon Web Services, as well as in general. Passing it demonstrates to employers that you have a comprehensive understanding of data pipelines. However, even experienced technologists should thoroughly prepare for this exam. This course covers all the data ingestion, transformation, and orchestration technologies on the exam and explains how they fit together, providing a foundation for success.

Udemy instructors Frank Kane and Stéphane Maarek have partnered to offer a comprehensive prep course. Collectively, they have instructed more than 2 million individuals worldwide. This course combines Stéphane's expertise in AWS with Frank's experience in handling large data sets, gained over his 9-year career at Amazon.

The world of data engineering on AWS encompasses a wide range of technologies and services. Here are a few examples of the topics we cover extensively:

One can stream and transform data using Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (MSK).

Messages can be queued using Simple Queue Service (SQS).

Data pipelines can be orchestrated using tools such as Amazon AppFlow, Amazon EventBridge, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA).

The transition from small to big data can be facilitated using AWS Database Migration Service (DMS), AWS DataSync, Snow Family, Transfer Family, and other tools.

The process involves storing large amounts of data using the Simple Storage Service (S3) and effectively managing data lifecycles.

Improving transactional queries using DynamoDB, DocumentDB, Keyspaces, and MemoryDB.

Integrating your big data systems using AWS Lambda.

The process of making unstructured data query-able can be achieved using AWS Glue, Glue DataBrew, and Lake Formation.

The data can be processed at unlimited scale using Elastic MapReduce, which includes Apache Spark.

Amazon SageMaker enables the application of advanced machine learning algorithms at scale.

The process of searching and analyzing petabyte-scale data can be achieved with Amazon Opensearch (formerly Elasticsearch) Service.

Amazon Athena is a tool used to query S3 data lakes.

Hosting data warehouses with Redshift and Redshift Spectrum.

The Relational Database Service (RDS) allows for the integration of smaller data with big data.

You can use Quicksight to visualize your data interactively.

Data security is ensured through encryption, KMS, Macie, Secrets Manager, IAM, and other measures.

Systems can be efficiently managed and governed using CloudFormation, CloudTrail, CloudWatch, AWS Config, and other tools.

During the course, there will be various opportunities to strengthen your learning through hands-on demonstrations and practice questions. Additionally, we will provide you with valuable test-taking tips and strategies throughout the process.

This associate-level exam is considered to be more challenging than others. AWS suggests that individuals have a few years of experience in both data engineering and AWS before attempting it. This exam is designed for individuals with a certain level of experience with AWS.

This course provides you with the confidence you need to enter the AWS Certified Data Engineer Associate Exam. Please click on the enroll button and we look forward to having you in the course. And ultimately, it is important to see you receive your certification.

This course is intended for:

Individuals who are interested in becoming certified in data engineering technologies on Amazon Web Services.


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