June 2021
Beginner
263 pages
6h 37m
English
For any data analytics project, you will likely need to ingest data from various disparate data sources and store it in a database, a data lake, a data warehouse, or a data lakehouse. To meet these requirements, you will have to build data ingestion pipelines, which will bring data to your desired target location. In addition, once you have ingested the data, you will have to cleanse it, apply business transformations and validations, and aggregate and consolidate it so that you can generate some insights and intelligence ...