Unit 1: The Data Engineer's World
Unit 2: Daily Life of an AWS Data Engineer
Unit 3: Data Engineering Project Lifecycle
AWS Data Engineer Interview Preparation for Beginners
Master essential AWS data engineering concepts and ace your interview with this comprehensive, beginner-friendly preparation course.
Unit 1: AWS Core Concepts
Unit 2: Essential AWS Services
Unit 3: Resource Provisioning Basics
Unit 1: Core AWS Storage Services
Unit 2: Deep Dive into S3 Storage
Unit 3: S3 Data Management & Security
Unit 1: RDS Core Concepts
Unit 2: Security and Networking
Unit 3: Data Management & Operations
Unit 4: Interview Prep for RDS
Unit 1: Redshift Fundamentals
Unit 2: Redshift Cluster Management
Unit 3: Data Management in Redshift
Unit 4: Redshift for Analytics
Unit 1: NoSQL Fundamentals
Unit 2: Getting Started with DynamoDB
Unit 3: DynamoDB Core Concepts
Unit 4: Interacting with DynamoDB
Unit 1: Data Lake Fundamentals
Unit 2: S3 as the Data Lake Foundation
Unit 3: Data Ingestion into Data Lakes
Unit 1: Kinesis Fundamentals
Unit 2: Deep Dive into Kinesis Streams
Unit 3: Deep Dive into Kinesis Firehose
Unit 4: Kinesis Analytics & Use Cases
Unit 5: Interview Prep for Kinesis
Unit 1: AWS Glue Fundamentals
Unit 2: AWS Glue Components
Unit 3: Implementing with Glue
Unit 1: Serverless Fundamentals
Unit 2: Lambda in Action
Unit 3: Common Data Engineering Use Cases
Unit 4: Lambda Best Practices & Interview Tips
Unit 1: Understanding Workflow Orchestration
Unit 2: Introducing AWS Step Functions
Unit 3: Building Basic Step Function Workflows
Unit 4: Advanced Step Function Patterns
Unit 5: Step Functions in Data Engineering
Unit 1: Spark Fundamentals
Unit 2: Amazon EMR for Spark
Unit 3: Spark for Data Transformation
Unit 4: Benefits & Considerations
Unit 1: Athena Fundamentals
Unit 2: Athena and Glue Data Catalog
Unit 3: Cost and Performance
Unit 1: Foundations of Data Security
Unit 2: Identity and Access Management (IAM)
Unit 3: Data Encryption in AWS
Unit 4: Data Governance & Compliance
Unit 1: Why Monitor & Log?
Unit 2: AWS CloudWatch Essentials
Unit 3: AWS CloudTrail for Auditing
Unit 4: Applying Monitoring & Logging
Unit 1: Understanding AWS Costs
Unit 2: Optimizing Storage Costs
Unit 3: Optimizing Compute Costs
Unit 4: General Cost Best Practices
Unit 1: Understanding Real-time Data
Unit 2: Streaming Data Use Cases
Unit 1: ETL Pipeline Fundamentals
Unit 2: Designing a Simple ETL Pipeline
Unit 3: The Extract Stage
Unit 4: The Transform Stage
Unit 5: The Load Stage
Unit 6: Putting It All Together
Unit 7: Interview Prep: Simple ETL
Unit 1: Foundations of Data Quality
Unit 2: Data Validation Strategies
Unit 3: Implementing Validation on AWS
Unit 1: Foundations of Data Governance
Unit 2: AWS Lake Formation Deep Dive
Unit 3: Centralized Access Control
Unit 1: Understanding Pipeline Failures
Unit 2: Debugging AWS Services
Unit 3: Leveraging AWS Monitoring Tools
Unit 4: Practical Troubleshooting Strategies
Unit 1: Interview Foundations
Unit 2: Behavioral Interview Mastery
Unit 3: Technical Interview Strategies
Unit 4: Scenario & Follow-up
Unit 1: Foundations of System Design
Unit 2: Designing for Data Workflows
Unit 3: Architectural Considerations
Unit 4: Scenario-Based Design Practice
Unit 1: Emerging Trends in AWS Data Engineering
Unit 2: Continuous Learning & Specialization