Big Data: ELT Fundamental Components

This Pathway gives an overview of the Extract, Load, Transform (ELT) Model and its fundamental components such as Sqoop, Nifi, Kafka.

Extract, Load, Transform (ELT) is an alternative to Extract, Transform, Load (ETL) used with Data Lake implementations. In contrast to ETL, in ELT Models the data is not transformed on entry to the Data Lake but stored in its original raw format.

This Pathway on Big Data: ELT Fundamental Components gives an overview of the fundamental components in Extract Load and Transform (ELT).

By the end of this Pathway, you will be able to:

1. Describe fundamentals of Sqoop, Nifi, Kafka
2. Differentiate between Extract Transform Load (ETL) vs Extract Load Transform Models (ELT)