Exam DA0-001 topic 1 question 7 discussion

B. ETL (Extract, Transform, Load) is a process that is used during data integration to collect, blend, and load data. ETL involves three main steps: Extract: In this step, data is gathered from a variety of sources, such as databases, spreadsheets, and APIs, and is then extracted and stored in a temporary data repository. Transform: In this step, the data is cleaned, transformed, and transformed into a format that can be loaded into the target system. This step involves tasks such as data cleansing, data enrichment, data matching, and data mapping. Load: In this step, the transformed data is loaded into the target system, such as a data warehouse or data mart, where it can be analyzed and used for reporting and business intelligence purposes.

B. ETL (Extract, Transform, Load) is a process that is used during data integration to collect, blend, and load data. The process involves extracting data from multiple sources, transforming the data into a format that is suitable for analysis, and then loading the data into a target system, such as a data warehouse. ETL is commonly used to integrate data from various sources, such as databases, flat files, and web services, and to prepare the data for reporting and analysis. The other options (MDM, OLTP, and BI) are not related to the ETL process.