Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
18 Hour(s) 20 Minute(s)
Language
English
Taught by
Syed Raza, ClayDesk E-learning
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Learn how to become an AWS Certified Data Engineer - Associate with hands-on learning.
The AWS Certified Data Engineer - Associate (DEA-C01) exam validates a candidate’s ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.
You should have the equivalent of 2–3 years of experience in data engineering. The target candidate should understand the effects of volume, variety, and velocity on data ingestion, transformation, modeling, security, governance, privacy, schema design, and optimal data store design. Additionally, the target candidate should have at least 1–2 years of hands-on experience with AWS services.
Course Description
This course covers all aspects of the following domain areas:
Domain 1: Data Ingestion and Transformation (34% of scored content)
Domain 2: Data Store Management (26% of scored content)
Domain 3: Data Operations and Support (22% of scored content)
Domain 4: Data Security and Governance (18% of scored content)
Why should you get AWS Certified?
Getting AWS Certified can help you propel your career, whether you’re looking to find a new role, showcase your skills to take on a new project, or become your team’s go-to expert. And because AWS Certification exams are created by experts in the relevant role or technical area, preparing for one of these exams helps you build the required skills identified by skilled practitioners in the field.
See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all important concepts and hand-on application with this AWS Certified Data Engineer - Associate course, and I would without a doubt recommend it to everyone.” - Martha Jones
“This is such an awesome course. Clear instruction, and I loved every bit of it – Wonderful learning experience!” Carlos Nelson.
Join thousands of other students and share valuable experience.
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
A 30 Day "No Questions Asked" Money Back Guarantee!
FREE AWS Certified Data Engineer- Associate quizzes and sample exam within this course.
FREE E-Book on AWS Cost Optimization
Why take this course?
As 8x AWS, Microsoft, and Cisco Certified, a senior Enterprise Architect & Project Manager managing and deploying enterprise level IT projects, my experience with AWS has been phenomenally great! I am excited to share my knowledge and transfer skills to my students.
Enroll now in AWS Certified Data Engineer - Associate (DEA-C01) course today and revolutionize your learning. Stay at the cutting edge of certification and AWS architectures- and enjoy bigger, brighter opportunities.
See you in class.
Syed
Team ClayDesk
Course Content
- 16 section(s)
- 142 lecture(s)
- Section 1 Introduction
- Section 2 Data Ingestion and Transformation (34% of scored content)
- Section 3 Cloud Data Migration
- Section 4 Domain 2: Data Store Management (26% of scored content)
- Section 5 AWS Sage Maker and Machine Learning
- Section 6 Domain 3: Data Operations and Support (22% of scored content) Velocity Data
- Section 7 AWS EC2 Deep Dive
- Section 8 Data Structure and Types
- Section 9 Veracity Cleansing and Data Transformation
- Section 10 Reporting and Business Intelligence
- Section 11 Domain 4: Data Security and Governance (18% of scored content)
- Section 12 Conclusion
- Section 13 Practice Exam Questions
- Section 14 Practice Exam #2
- Section 15 Resources
- Section 16 Additional Key Topics and Readings
What You’ll Learn
- Understanding AWS data storage options: Amazon S3, RDS, DynamoDB
- Ingest and transform data, and orchestrate data pipelines while applying programming concepts.
- Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.
- Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality
- Implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues
- Working with AWS Data Pipeline for data movement and processing
- Key concepts of AWS Glue for ETL processes
- Querying data in S3 using AWS Athena
Skills covered in this course
Reviews
-
CChris Patrick
Demo content and labs
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AAfzal M
17 hours of pure gold! Can't believe how clearly and elegantly this gentleman explains! Thank you, Syed!
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UUdemy User
highly relevant for me. Delivered succinctly and to the point
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KKashif Shaikh
Thre should be some recommendation of prequisite courses like ML to fully grasp concept of this course
