Journal of Advances in Developmental Research

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The Forgotten Middle Layer: Metadata-Driven Governance For Semi-Structured Big Data

Author(s) Uday Kumar Reddy Gangula
Country United States
Abstract Big data technologies enable advanced analytical capabilities, yet they produce numerous project failures because of a fundamental architectural deficiency. The paper reveals a "forgotten middle layer" in contemporary data systems, which arises from the implementation of schema-on-read data lakes in conjunction with semi-structured formats, such as JSON and XML. The complexity of modern data systems exceeds the capabilities of traditional governance models, which results in data becoming both untrustworthy and unusable. The proposed metadata-driven governance framework utilizes active metadata management to deliver data discovery, lineage, and quality, as well as policy enforcement capabilities. The paper demonstrates architectural patterns for this method while showing its implementation in Apache Atlas platforms and developing a step-by-step adoption framework. Metadata governance establishes structure and trust in semi-structured data environments, connecting raw infrastructure with effective analytics.
Keywords Big Data, Data Governance, Metadata Management, Semi-structured Data, Data Lake, Apache Atlas, Data Lineage, Schema Inference.
Field Engineering
Published In Volume 11, Issue 1, January-June 2020
Published On 2020-04-08
Cite This The Forgotten Middle Layer: Metadata-Driven Governance For Semi-Structured Big Data - Uday Kumar Reddy Gangula - IJAIDR Volume 11, Issue 1, January-June 2020. DOI 10.71097/IJAIDR.v11.i1.1541
DOI https://doi.org/10.71097/IJAIDR.v11.i1.1541
Short DOI https://doi.org/g92j95
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