A big data storage technology based on domestic autonomous controllable characteristics

In view of the characteristics of the target product, such as diverse feature data types, huge capacity, and large number of unstructured and semi-structured data, based on the domestic autonomous controllable platform, we adopt the hybrid storage architecture of massive feature data files combining relational database and Hadoop, and use relational database to store structured feature data. The Hadoop cluster is used to store semi-/ unstructured data, make up for the shortcomings of relational databases in mass data processing and storage, and achieve high concurrent access to big data of target products and scalability of heterogeneous data.

Authors

Institutions

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1117/12.3047783
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A big data storage technology based on domestic autonomous controllable characteristics

Qiujie Zhang, Peng Zhang, Zehao Wang, Pengpeng Huang et al.
Big Data Technologies and Applications
article

A big data storage technology based on domestic autonomous controllable characteristics

Qiujie Zhang, Peng Zhang, Zehao Wang, Pengpeng Huang, Xiangzhen Li, Kan Zhou
article en

Abstract

In view of the characteristics of the target product, such as diverse feature data types, huge capacity, and large number of unstructured and semi-structured data, based on the domestic autonomous controllable platform, we adopt the hybrid storage architecture of massive feature data files combining relational database and Hadoop, and use relational database to store structured feature data. The Hadoop cluster is used to store semi-/ unstructured data, make up for the shortcomings of relational databases in mass data processing and storage, and achieve high concurrent access to big data of target products and scalability of heterogeneous data.

Beijing Institute of Technology (CN), Beijing Electronic Science and Technology Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Big Data Technologies and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.