AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, 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

Requirements
You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees.
AWS recommends 2-3 years of experience in data engineering, and 1-2 years of hands-on experience with AWS services.

Description
NEW: Now includes a full-length practice exam!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 moreStoring massive data lakes with the Simple Storage Service (S3) and managing data lifecyclesOptimizing transactional queries with DynamoDB, DocumentDB, Keyspaces, and MemoryDBTying your big data systems together with AWS LambdaMaking unstructured data query-able with AWS Glue, Glue DataBrew, and Lake FormationProcessing data at unlimited scale with Elastic MapReduce, including Apache SparkApplying advanced machine learning algorithms at scale with Amazon SageMakerSearching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) ServiceQuerying S3 data lakes with Amazon AthenaHosting massive-scale data warehouses with Redshift and Redshift SpectrumIntegrating smaller data with your big data, using the Relational Database Service (RDS) Keeping your data secure with encryption, KMS, Macie, Secrets Manager, IAM, and moreManaging and governing your systems with CloudFormation, CloudTrail, CloudWatch, AWS Config, and moreThroughout the course, you'll have lots of opportunities to reinforce your learning with hands-on demos, a full-length practice exam, and additional 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!- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -InstructorMy 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!- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -InstructorHey, 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 800,000 students all around the world!I've worked hard to keep this course up to date with the latest developments in AWS data engineering, 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 updatesA responsive instructor in the Q&A SectionUdemy Certificate of Completion Ready for DownloadA 30 Day "No Questions Asked" Money Back Guarantee!Join us in this course if you want to pass the AWS Certified Data Engineer - Associate Exam DEA-C01 and master the AWS platform!

Who this course is for:
Technologists seeking certification in data engineering technologies on Amazon Web Services

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