Apoorva Anugu

Papers

Total Citations

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About

Apoorva Anugu is a researcher whose work sits at the critical intersection of data engineering and business intelligence, with a primary focus on optimizing Big Data ETL (Extract, Transform, Load) implementation. Her most cited work, a systematic literature review from 2018, rigorously examines 97 papers to identify and evaluate the prevailing approaches for integrating disparate data sources into modern data warehouses. This foundational study, which has garnered 12 citations, directly addresses the core challenge of making large-scale, heterogeneous data usable for analytics and decision-making. By mapping the landscape of ETL techniques, Anugu provides a vital reference for practitioners and academics navigating the complexities of data integration in the age of big data. Her contribution is particularly significant for the fields of data warehousing and business intelligence, offering a structured understanding of how to efficiently transform raw data into actionable insights. This work establishes her as a thoughtful analyst of the technical pipelines that underpin today’s data-driven enterprises.