---
title: Advancements in Data Ingestion and Processing using Hadoop
url: https://www.ml-quant.com/papers/ssrn/4666485/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4666485
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4666485
featured: 2023-12-20
citations: 1
topic: Other
---


# Advancements in Data Ingestion and Processing using Hadoop

The research suggests using advanced components within the Hadoop ecosystem to efficiently ingest data from diverse sources, as Hadoop allows for the concurrent and dispersed handling of large datasets.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4666485
- Identifier: SSRN 4666485
- Released: 2023-06-10
- First featured: Quant Letter No. 30 (2023-12-20): https://www.ml-quant.com/issues/2023-12-20/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Other

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