AWS Certified Data Engineer - Associate (DEA-C01) [Full Course In 285min]

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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬

00:00 - Intro
02:45 - Setup Work
11:52 - Data Engineering Fundamentals
12:23 - Types of Data
15:23 - Properties of Data
19:53 - Data Warehouse Vs Data Lakes Vs Data Lakehouse
25:17 - Data Mesh
30:35 - Orchestration
33:56 - Data Modeling
37:15 - Schema Evolution
37:45 - Data Sampling
39:23 - Data Skewness
40:18 - Data Validation and Profiling
40:51 - A Word On SQL
41:34 - AWS Glue
44:21 - AWS Glue Hands On Set Up Work
50:21 - AWS Glue Data Catalog
52:29 - AWS Glue Database
55:45 - AWS Glue Tables
01:00:24 - AWS Glue Crawlers
01:06:10 - Partitions in AWS
01:07:46 - AWS Glue Connections
01:10:08 - AWS Glue ETL
01:11:08 - AWS Glue DPUs
01:11:52 - AWS Glue Bookmarks
01:19:37 - AWS Glue Scheduling
01:26:38 - AWS Glue Data Quality
01:28:07 - AWS Glue Data Quality
01:29:49 - Glue Clean Up Work
01:30:50 - Amazon Athena
01:35:09 - Amazon Athena Setup Work
01:38:34 - Athena Practical
01:54:48 - Amazon Redshift
02:15:39 - Redshift Hands On
02:37:54 - Amazon Redshift Clean Up
02:38:41 - Amazon EMR
02:44:06 - Amazon EMR Hands On
03:13:53 - Amazon Kinesis
03:20:47 - Amazon Kinesis Hands On
03:31:53 - Amazon MSK
03:32:56 - Amazon MSK vs Kinesis
03:34:21 - Amazon OpenSearch
03:38:55 - Amazon OpenSearch Hands On
03:48:03 - Amazon QuickSight
03:50:56 - Amazon DynamoDB
03:52:16 - DynamoDB Indexes
03:54:30 - DynamoDB Capacity Units
03:57:01 - DynamoDB Modes
03:57:49 - PartiQL
03:58:19 - DynamoDB Accelerator
03:58:56 - DynamoDb Streams
03:59:36 - DynamoDb Data Engineering
04:02:05 - DynamoDB Hands On
04:16:16 - Amazon Lambda
04:16:38 - Amazon Lambda Data Engineering
04:17:48 - Containers
04:18:42 - Containers on AWS and Data Engineering
04:20:19 - Amazon S3
04:20:54 - S3 and Data Engineering
04:21:45 - S3 and Data Lakes
04:24:16 - S3 LifeCycle Policy
04:25:07 - Amazon Lakeformation
04:26:39 - More Databases
04:26:47 - Amazon RDS
04:27:25 - Amazon Timestream
04:27:57 - Amazon Neptune
04:28:19 - Amazon Databases and Data Engineering
04:30:41 - AWS Application Discovery Service
04:31:34 - AWS Database Migration Service
04:33:05 - AWS Snow Family
04:34:30 - AWS Application Integration
04:34:47 - AWS SNS
04:35:01 - AWS SQS
04:35:49 - Amazon Appflow
04:36:57 - Amazon Event Bridge
04:38:10 - Amazon SageMaker
04:41:10 - Breakdown of Exam Style Question
04:44:00 - Outro

Are you preparing for the AWS Certified Data Engineer - Associate (DEA-C01) exam? This comprehensive full course is designed to guide you through every aspect of the certification, from data modeling and storage solutions to ETL processes and data analysis on AWS. We'll dive deep into key AWS services like S3, Redshift, DynamoDB, and Glue, with hands-on examples and real-world scenarios to solidify your understanding. Whether you're new to AWS or looking to validate your data engineering skills, this course will equip you with the knowledge and confidence to ace the DEA-C01 exam. Don't forget to subscribe and hit the notification bell to stay updated with the latest content!

DISCLAIMER
This course, youtube video, revision/exam guide, and/or slide deck for the AWS Certified Data Engineer certification is intended as a supplementary resource to aid in your preparation for the certification exam. While it is designed to help you identify and address knowledge gaps, it does not guarantee a passing score. Success on the exam depends on your understanding of the material, practical experience, and familiarity with AWS services and best practices. We recommend using this guide alongside other study materials and hands-on practice to enhance your readiness for the certification exam.

😎 About me
I have spent the last decade being immersed in the world of big data working as a consultant for some the globe's biggest companies.My journey into the world of data was not the most conventional. I started my career working as performance analyst in professional sport at the top level's of both rugby and football. I then transitioned into a career in data and computing. This journey culminated in the study of a Masters degree in Software

[maxellton]

@1:55 Isn't Redshift designed for OLAP, not OLTP?

[TheSuperJCN]

Have been eagerly waiting for this video for a very long time
Thank you and welcome back, king

[jawadarshad]

Great course! Small correction: 1:55:11 Redshift is not meant for OLTP

[thomasdeurum]

Thank you for the amazing knowledge that you shared into this video 📽️‼️

[AndreiaHeringer]

Thank you for this amazing video! I'm currently preparing for the certification, and I appreciate all the takeaways for each service, they are very helpful!

[ramachandranselvamani]

Thanks, rite video on rite time. I am preparing this exam.

[vikastripathiviky]

Hey Johnny,
Welcome back after a long time.
Your content really contains a lot of information.
Appreciate your work

[gourane]

i am going to pass the exm today and i just found this video

[jackthewisedog]

Great to see you back I really like your videos and content. I spent a long time "on prem" and myu company have moved to the cloud in the last few years and you vidoes have been invaluable

[Turtlenigma]

you're a super nice man. this is exactly what I need.

[kaedien]

fantastic thank you Johnny! can't believe this is free

[yahididay]

Exactly what I need right now, thanks a lot

[coltonrobbins]

Amazing work Johnny! This is exactly what I need for the data engineering cert!

Just a minor comment at 1:12:42 your chapter heading doesn't update and stays on "AWS Glue Bookmarks"

[gabrielcaceres]

Dude! I was expecting your next video! I got a doubt, if I have to send data to a lakehouse or datalake and it comes from an rest api calling, is it better to use a site to site vpn into an instance on ec2 or a lambda function?

[ccc_ccc]

Wooohhh! Welcome back! Thanks for the video!

[TejasBangera]

wow, hats off bro
Thanks for the video

[priyangshu]

Is it mandatory to have 2-3 years of experience for appearing on the exam? Would you recommend a fresher giving this exam?

[alexnolfi]

Great video, Johnny! Just a heads up: at 1:55:13, you have OLTP in brackets instead of OLAP