Instead of focusing on specific tools like Hadoop or Spark, Reis and Housley organize the discipline around the . This framework identifies five primary stages that turn raw data into valuable products:
Applying coding best practices, testing, and design patterns. Why This Book is Essential
Evaluating trade-offs and designing for agility and scalability. Orchestration: Scheduling and managing complex workflows. Fundamentals of Data Engineering by Joe Reis PDF
Managing access control and protecting sensitive information.
Ensuring data governance, modeling, and integrity. DataOps: Monitoring, observability, and incident reporting. Instead of focusing on specific tools like Hadoop
Understanding source systems and how data is created.
Manipulating data into a usable format for downstream users. and integrity. DataOps: Monitoring
Choosing appropriate storage abstractions (e.g., Data Lakes, Data Warehouses). Ingestion: Moving data from sources into storage.