International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Data Lineage and Impact Analysis: Tools and Techniques for Data Governance

Author(s) Srinivasa Rao Karanam
Country United States
Abstract Data is widely recognized as an absolutely essential asset for the daily functioning of modern-day organizations, albeit the complexities behind data integrity, usage, and compliance are frequently overlooked. Data volume expansions have forced us to reevaluate every aspect of data governance, including data lineage and impact analysis, which stand as the crucial pillars for ensuring the authenticity, security, and general reliability of corporate informational resources. Despite the significance, organizations often fail to adopt robust frameworks for systematically tracking data transformations and analyzing subsequent ramifications of any modifications that might occur. This paper, which attempts to adopt a highly technical perspective, explores the fundamental aspects of data lineage, focusing on how systematic traceability of data origin points and subsequent transformations can yield more coherent and regulatory-compliant data governance. Additionally, we delve into the synergy between data lineage strategies and impact analysis, illustrating the importance of both approaches for anticipating disruptions and reinforcing organizational accountability.
The escalating complexities of data pipelines in large-scale environments, including real-time streams, distributed databases, and hybrid cloud architectures, demand advanced solutions that merge well with existing data governance processes. This article offers a thorough examination of the conceptual frameworks, commonly used technologies, and practical methodologies that define data lineage and impact analysis. We also discuss the persistent obstacles that hinder successful adoption and highlight future directions where these practices could evolve in parallel with advanced machine learning and automation tools. By synthesizing academic and industry findings, we present an integrated blueprint for organizations that plan to refine the reliability, compliance, and overall quality of their data ecosystems.
Keywords -
Field Engineering
Published In Volume 3, Issue 11, November 2022
Published On 2022-11-02
Cite This Data Lineage and Impact Analysis: Tools and Techniques for Data Governance - Srinivasa Rao Karanam - IJLRP Volume 3, Issue 11, November 2022. DOI 10.5281/zenodo.15051013
DOI https://doi.org/10.5281/zenodo.15051013
Short DOI https://doi.org/g88zxh
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 5 Isu 12 Cover Page Vol 5 Isu 11 Cover Page Vol 5 Isu 10

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com