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AWS Certified Data Engineer - Associate (2025) Courseware image
AWS-DataEngineer

AWS Certified Data Engineer - Associate (2025)

Overview


This Learning Path is specifically designed to help you prepare for the AWS Certified Data Engineer - Associate certification exam. The certification validates your knowledge to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.


Objectives


- Data Ingestion and Transformation
- Data Store Management
- Data Operations and Support
- Data Security and Governance


Pre-requisites


To become AWS Certified Data Engineer - Associate, you should have a solid understanding of various data analytics concepts and hands-on experience with relevant AWS services. If you are new to AWS, it is recommended to take the AWS Technical Essentials Learning Path before starting this lab.


Language: English Access period: 180 days Save period: cannot be saved Max launches: 10

What's Included:

  • 10 launches per module
  • Free Access to production AWS Subscription (No sign up / credit cards)
  • Free 24/7 premier support
  • Free instructor access

Platform Features:

  • Seamless paste to virtual machine functionality
  • Integrated keyboard language translation for all countries
  • Integrated step-by-step instructions
  • Remote classroom management for instructors & admins
  • Student progress reporting

Lab Estimated completion time
1. Create an Amazon Kinesis Data Streams-based system for real-time data streaming
60 mins
2. Schedule AWS Lambda functions using EventBridge
60 mins
3. AWS Data Engineering Fundamentals
60 mins
4. Extraction using Amazon AppFlow
60 mins
5. Discover Sensitive Data using Amazon Macie
60 mins
6. Conduct Data Extraction, Transformation, and Loading Task in Glue utilizing Amazon S3
60 mins
7. Creating an Amazon Redshift Data Warehouse
60 mins
8. Configuring DynamoDB Streams Using Lambda
60 mins
9. Transfer data to S3 using Amazon Kinesis Firehose
60 mins
10. An Introduction to DynamoDB TTL
60 mins
11. Database Credentials Security and Monitoring
60 mins
12. AWS Backup: Testing Backup and Restore of Data
60 mins
13. Data Analysis Using Amazon Redshift Query Editor V2
60 mins
14. Setting Up an Amazon EMR Cluster and Launching a Spark Job
60 mins
15. Enable Data protection for S3 and EBS using AWS KMS
60 mins

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