Data Processing

Catalog description

Data Processing includes the practice of automating data flow into and out of components of an analytics system. Data processing comprises a major part of the analytics life cycle in modern organizations. This course covers concepts in extract, transform, and load (ETL) pipeline operations on data at scale and variations of ETL as a function of data repositories, including data warehouses and data lakes. Streaming and batch data operations and their differences are discussed, and students implement pipeline solutions in cloud-native environments. There is no prerequisite for this course.