Data Engineering with AWS Cookbook

Table of Contents

1. Managing Data Lake Storage
2. Sharing Your Data Across Environments and Accounts
3. Ingesting and Transforming Your Data with AWS Glue
4. A Deep Dive into AWS Orchestration Frameworks
5. Running Big Data Workloads with Amazon EMR
6. Governing Your Platform
7. Data Quality Management
8. DevOps – Defining IaC and Building CI/CD Pipelines
9. Monitoring Data Lake Cloud Infrastructure
10. Building a Serving Layer with AWS Analytics Services
11. Migrating to AWS – Steps, Strategies, and Best Practices for Modernizing Your Analytics and Big Data Workloads
12. Harnessing the Power of AWS for Seamless Data Warehouse Migration
13. Strategizing Hadoop Migrations – Cost, Data, and Workflow Modernization with AWS