Chapter 1: What Is Data Engineering
Chapter 2: Building Our Data Engineering Infrastructure
Chapter 3: Reading and Writing Files
Chapter 4: Working with Databases
Chapter 5: Cleaning and Transforming Data
Chapter 6: Building a 311 Data Pipeline
Chapter 7: Features of a Production Data Pipeline
Chapter 8: Version Control Using the NiFi Registry
Chapter 9: Monitoring and Logging Data Pipelines
Chapter 10: Deploying Your Data Pipelines
Chapter 11: Building a Production Data Pipeline
Chapter 12: Building an Apache Kafka Cluster
Chapter 13: Streaming Data with Kafka
Chapter 14: Data Processing with Apache Spark
Chapter 15: Real-Time Edge Data – Kafka, Spark, and MiNiFi
Appendix