ODS: An ODS is a centralized database that integrates and stores real-time operational data. It’s designed for operational reporting and decision-making, providing a snapshot of the latest data for immediate use. It often contains current, atomic-level data with limited history and is updated frequently. Staging Area: A staging area is used as a temporary storage for data before it’s loaded into the data warehouse. It’s where data from different sources is collected, cleansed, and transformed. Unlike an ODS, the staging area is not meant for direct reporting or decision-making but is a preparatory step for data integration and warehousing.
Your video was so useful to me, there's no information in Spanish about ODS, I just tried this option and I understood all, Thanks Sr.
Can you please make a vedio on what is diff between staging and Ods
ODS: An ODS is a centralized database that integrates and stores real-time operational data. It’s designed for operational reporting and decision-making, providing a snapshot of the latest data for immediate use. It often contains current, atomic-level data with limited history and is updated frequently.
Staging Area: A staging area is used as a temporary storage for data before it’s loaded into the data warehouse. It’s where data from different sources is collected, cleansed, and transformed. Unlike an ODS, the staging area is not meant for direct reporting or decision-making but is a preparatory step for data integration and warehousing.
At what all layer etl tester should test ? What type test?
hi sir, i have question, if source database is having flat files and target database is having tables then how to validate?
Please check ' ETL testing' playlist , I have done enough video on different scenarios and types of testing ,