Book Content
chapters • 16h4m total length
1. An Introduction to Data Engineering
2. Data Management Architectures for Analytics
3. The AWS Data Engineer's Toolkit
4. Data Cataloging, Security and Governance
5. Architecting Data Engineering Pipelines
6. Ingesting Batch and Streaming Data
7. Transforming Data to Optimize for Analytics
8. Identifying and Enabling Data Consumers
9. Loading Data into a Data Mart
10. Orchestrating the Data Pipeline
11. Ad Hoc Queries with Amazon Athena
12. Visualizing Data with Amazon QuickSight
13. Enabling Artificial Intelligence and Machine Learning
14. Wrapping Up the First Part of Your Learning Journey
