Data Engineering

Chapters & topics
i) Foundation and Building Blocks The Data Engineering Lifecycle
ii) Designing Good Data Architecture Choosing Technologies Across the Data Engineering Lifecycle
iii) Data Generation in Source Systems Storage
iv) Ingestion Queries Modelling Transformation
v) Serving Data for Analytics Serving Data for Machine Learning Serving Data for Reverse ETL Security and Privacy The Future of Data Engineering Serialization and Compression Technical Details Cloud Networking

Reference Book

Title	Author	PDF
Fundamentals of Data Engineering	Joe Reis and Matt Housley	View
Learning Spark: Lightning-Fast Data Analytics	Jules S. Damji, Brooke Wenig	View
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale	Neha Narkhede, Gwen Shapira & Todd Palino	View
Data Pipelines Pocket Reference	James Densmore	View
Data Engineering with Python	Paul Crickard	View