KATTA MA'LUMOTLAR EKOTIZIMIDA MA'LUMOTLAR INJINERINGINING AHAMIYATI

This article analyzes the significance of data engineering in the Big Data ecosystem. The key principles and tools for efficient collection, storage, processing, and analysis of large datasets are discussed. The study highlights the role of data engineering in modern Big Data ecosystems by applying an analytical approach to existing platforms and technologies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-10
DOI
https://doi.org/10.5281/zenodo.14998799
Primary Topic
Environmental Engineering and Cultural Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

KATTA MA'LUMOTLAR EKOTIZIMIDA MA'LUMOTLAR INJINERINGINING AHAMIYATI

Zenodo (CERN European Organization for Nuclear Research)
Environmental Engineering and Cultural Studies
article

KATTA MA'LUMOTLAR EKOTIZIMIDA MA'LUMOTLAR INJINERINGINING AHAMIYATI

article en

Abstract

This article analyzes the significance of data engineering in the Big Data ecosystem. The key principles and tools for efficient collection, storage, processing, and analysis of large datasets are discussed. The study highlights the role of data engineering in modern Big Data ecosystems by applying an analytical approach to existing platforms and technologies.

Zenodo (CERN European Organization for Nuclear Research)
Responsible consumption and production
Openalex Percentile: Top 46%
Environmental Engineering and Cultural Studies
DOIOpen Access PDFOpenAlex
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KATTA MA'LUMOTLAR EKOTIZIMIDA MA'LUMOTLAR INJINERINGINING AHAMIYATI · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS