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AWS Data Engineer

AWS Data Engineer

Duration in Hours : 40

Duration in Days: 20

AWS Data Engineer

Course Code: AWSDE20CS

10 Hours of Theory

30 Hours of Lab

  1. Overview of AWS services
  2. AWS global infrastructure
  3. Setting up AWS environment
  1. Cloud computing models (IaaS, PaaS, SaaS)
  2. Data engineering pipeline concepts
  3. Batch vs streaming data processing
  1. Amazon S3 (Simple Storage Service)
  2. Amazon EBS (Elastic Block Store)
  3. AWS Storage Gateway
  4. Data lake architecture with AWS
  1. Amazon RDS (Relational Database Service)
  2. Amazon DynamoDB (NoSQL Database)
  3. Amazon Redshift (Data Warehousing)
  1. AWS Glue (ETL service)
  2. Amazon Athena (SQL on S3)
  3. Amazon EMR (Elastic MapReduce)
  4. Amazon Kinesis (Real-time data streaming)
  5. AWS Lambda for serverless processing
  1. AWS Database Migration Service (DMS)
  2. AWS Snowball for large-scale data transfers
  3. Amazon Data Pipeline
  1. IAM (Identity and Access Management)
  2. AWS Key Management Service (KMS)
  3. AWS data encryption
  1. Amazon QuickSight
  2. Integration with third-party BI tools (Tableau, PowerBI)
  1. Amazon CloudWatch
  2. AWS Cost Management
  3. Performance tuning for data pipelines
  1. Building and deploying a scalable data pipeline
  2. Integrating real-time and batch data processing
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