The research provides the intertwined realms of Data Lineage
and Data Governance, two crucial facets of contemporary data management within
organizations. Collectively, they ensure data quality, security, compliance,
and transparency, all of which are essential for informed decision-making. Data
Lineage, as the flow and transformation of data through pipelines, is explored
in tandem with Data Governance, which provides the principles and frameworks
for effective data management. Data lineage assures data accountability by
showing who is responsible for various data sets and how data is managed across
different processes and systems. The article elucidates the prerequisites for
successful data governance, highlighting the pivotal role played by executive
support, clear business objectives, comprehensive data inventories, and robust
security measures. The research further discusses how Data Lineage aligns with
the fundamental principles of Data Governance, including data transparency,
accountability, quality assurance, security, and regulatory compliance. By
tracing the origin and evolution of data, Data Lineage ensures that data is
trustworthy and can be relied upon for informed decision-making. The research
suggests that data lineage complements the applicability of data governance.
The objectives required from data lineage must align with the data governance
principles developed by individuals.
Author(s) Details
Sivakumar Ponnusamy
Cognizant Technology Solutions, Richmond, VA, USA.
Pankaj Gupta
Discover Financial Services, USA.
Please see the book here:- https://doi.org/10.9734/bpi/rumcs/v7/11979F
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