Section 2 – End-to-End Process of Building Delta Pipelines

In this section, you will learn how Delta aids the plumbing and heavy lifting of raw data to refine it for analytic purposes. Instead of spending time, effort, and resources on additional code to address everyday data challenges, data staff can now focus primarily on the business use case. Delta provides constructs for greater reliability, quality, and performance of your data and is becoming the de-facto standard for big data projects as it greatly simplifies the tasks of all the data staff involved in creating a data product or service.

This part includes the following chapters:

• Chapter 4, Unifying Batch and Streaming with Delta
• Chapter 5, Data Consolidation in Delta Lake
• Chapter 6, Solving Common Data Pattern Scenarios with Delta
• Chapter 7, Delta for Data Warehouse Use Cases
• Chapter 8, Handling Atypical Data Scenarios with Delta
• Chapter 9, Delta for Reproducible Machine Learning Pipelines
• Chapter 10, Delta for Data Products and Services