Data Lineage
Data lineage refers to the journey of data from its origin to its destination, including all the transformations and processing that it undergoes along the way. It is the process of tracking data movement and changes as it flows through various systems, applications, and processes.
In other words, data lineage is a record of the data's history, including where it came from, how it was transformed, who accessed it, and where it went. It helps to understand the data's source and history, ensuring data accuracy and compliance with regulations, as well as making it easier to troubleshoot errors and trace data-related issues.
Data lineage is particularly important in large-scale data projects, such as data warehouses and big data analytics, where data can be complex and undergo multiple transformations. By maintaining accurate data lineage, organizations can ensure the integrity of their data and improve the transparency of their data-related processes.
In other words, data lineage is a record of the data's history, including where it came from, how it was transformed, who accessed it, and where it went. It helps to understand the data's source and history, ensuring data accuracy and compliance with regulations, as well as making it easier to troubleshoot errors and trace data-related issues.
Data lineage is particularly important in large-scale data projects, such as data warehouses and big data analytics, where data can be complex and undergo multiple transformations. By maintaining accurate data lineage, organizations can ensure the integrity of their data and improve the transparency of their data-related processes.
