Using boolean queries with a clustered file organization

1979 ◽  
Vol 30 (6) ◽  
pp. 358-360 ◽  
Author(s):  
W. Bruce Croft
Keyword(s):  
File Organization ◽  
Boolean Queries

An Optimal Framework for Spatial Query Optimization Using Hadoop in Big Data Analytics

2019 ◽  
Vol 12 ◽  
Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar
Keyword(s):  
Big Data ◽  
Query Optimization ◽  
Spatial Data ◽  
Spatial Information ◽  
Big Data Analytics ◽  
Spatial Query ◽  
Data Process ◽  
Boolean Queries ◽  
Spatial Query Optimization ◽  
Hadoop System

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.

On the Consecutive Retrieval Property in File Organization

1974 ◽  
Vol C-23 (2) ◽  
pp. 173-174 ◽  
Author(s):  
A. Waksman ◽  
M.W. Green
Keyword(s):  
File Organization

Design of a balanced multiple-valued file-organization scheme with the least redundancy

1979 ◽  
Vol 4 (4) ◽  
pp. 518-530 ◽  
Author(s):  
Sumiyasu Yamamoto ◽  
Shinsei Tazawa ◽  
Kazuhiko Ushio ◽  
Hideto Ikeda
Keyword(s):  
File Organization

Source File Organization

2009 ◽  
pp. 87-100
Author(s):  
Mark Dalrymple ◽  
Scott Knaster
Keyword(s):  
Source File ◽  
File Organization
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