Data lineage shows how data moves and changes in a system. It maps out where data comes from where it goes, and how it transforms along the way. This includes steps like pulling data out changing it putting it in, and using it. Data lineage gives a full picture of data's journey making it easier to understand and manage. You can see data lineage in diagrams or graphs. These show how different parts of the data process connect. They help people trace data back to where it started.
They also show how changes to data affect other parts of the system. Data lineage has an influence on how people track and handle data. It lets them see the whole path data takes. This helps with figuring out where data came from and how it's been changed. It also shows how data impacts other processes and analyses down the line. By mapping out data's life cycle, data lineage causes a revolution in how organizations manage their data assets. It gives a clear view of data's path through various stages. This clarity is key to better data management and understanding.
Data lineage matters for many reasons. It affects how we manage data, follow rules, keep data good, and work .
Data lineage has an influence on data governance by making data handling clear and accountable. DAMA says this in 2020. It also helps companies follow rules. EDM Council mentions in 2020 that data lineage lets companies show they're following data use and reporting rules. This is key in many fields.
Redman points out in 2016 that data lineage helps keep data good. It does this by tracking where data comes from. This makes sure data stays right, full, and trustworthy as it's used.
Data lineage helps companies figure out how changes in data sources or transformations affect other processes down the line. This cuts down on unexpected problems. Kimball and Ross talked about this in 2013.
When you're trying to combine data from all over the place, data lineage gives you a clear picture of how data moves and changes. This makes sure everything stays consistent and makes sense when you're putting it all together. Inmon brought this up back in 2005.
Data lineage practices bring many perks. They boost how we handle and use data in different areas:
Data lineage shows how data moves and changes. This helps people track where data comes from and how it's been used (DAMA,2020). It makes things clearer for everyone involved. Good data lineage info helps people make smarter choices.
It lets them know where data comes from and how it's changed. (Kimball and Ross,2013). When folks understand the data better, they can use it more wisely. Data lineage has an impact on spotting problems before they get big. It shows where things might go wrong with data. This lets teams fix issues on. It's all about keeping data safe and accurate.
Data lineage acts as a map when data problems pop up. It helps teams fix issues fast and well. Data lineage shows how data moves . This helps make data work smoother. It cuts down on doing the same thing twice when handling data.
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