Supporting Efficient Family Joins for Big Data Tables via Multiple Freedom Family Index
The Hadoop/MapReduce framework has been widely utilized for processing big data. To overcome the limitations of existing work and meet the growing requirements of querying big data, this paper introduces novel join operations, called family joins, for HBase tables using their column families as join...
Saved in:
Main Authors: | Qiang Zhu, Chao Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10855900/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LotusSQL: SQL Engine for High-Performance Big Data Systems
by: Xiaohan Li, et al.
Published: (2021-12-01) -
Joins of Euclidean orbital topologies
by: Ellen Clay
Published: (1997-01-01) -
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
by: Ankit Kumar, et al.
Published: (2023-12-01) -
Distributed Storage System for Electric Power Data Based on HBase
by: Jiahui Jin, et al.
Published: (2018-12-01) -
Research on multiple enhanced k combination reverse Skyline query method
by: Song Li, et al.
Published: (2025-01-01)