Web Scraping a Wikipedia Table into a Dataframe
Many of you Data Science enthusiast out there who are thinking of starting a new project, be it for enhancing your skills or a corporate level project need “data” to work with. Thanks to the…
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Importance of Data Lineage in Data warehouse.
The flow of data from source to destination.
In the previous article we have discussed on Data Catalog, in this article we will discuss about Data Lineage. What is it Data Lineage, what is its importance, what are the benefits, how to create one and the tools and technologies that can be used.
What is a Data Lineage?
Data lineage is the process of tracking the flow of data over time, providing a clear understanding of where the data originated, how it has changed, and its ultimate destination within the data pipeline. Data lineage helps you understand the data you’re using, what may have happened to change it over time, and who was involved in any processing.
Data lineage provides an audit trail for data at a very granular level; this type of detail is incredibly helpful for debugging any data errors, allowing data engineers to troubleshoot more effectively and identify resolutions more quickly.
What is the importance of Data Lineage?
The way how important it is to know the source and the final destination of the data, it is equally important to know how it got transformed through out its journey from source to destination. Knowing who made the change, how it was updated, and the process used, improves data quality. It allows data custodians to ensure the integrity and confidentiality of data is protected throughout its lifecycle. Below are the importance of the Data Lineage:
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