scholarly journals THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM

2016 ◽  
Vol XLI-B4 ◽  
pp. 551-555 ◽  
Author(s):  
Qingyun Xie
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Management System ◽  
Database Management ◽  
High Performance ◽  
Database Management System ◽  
Raster Data ◽  
Spatial Indices ◽  
Oracle Spatial ◽  
Processing Platform

This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described. Basically, as a database management system, GeoRaster defines an integrated raster data model, supports image compression, data manipulation, general and spatial indices, content and context based queries and updates, versioning, concurrency, security, replication, standby, backup and recovery, multitenancy, and ETL. It provides high scalability using computer and storage clustering. As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). Specifically, HPC features include locality computing, concurrent processing, parallel processing, and in-memory computing. In addition, the APIs and the plug-in architecture are discussed.

scholarly journals THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM

2016 ◽  
Vol XLI-B4 ◽  
pp. 551-555
Author(s):  
Qingyun Xie
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Management System ◽  
Database Management ◽  
High Performance ◽  
Database Management System ◽  
Raster Data ◽  
Spatial Indices ◽  
Oracle Spatial ◽  
Processing Platform

This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described. Basically, as a database management system, GeoRaster defines an integrated raster data model, supports image compression, data manipulation, general and spatial indices, content and context based queries and updates, versioning, concurrency, security, replication, standby, backup and recovery, multitenancy, and ETL. It provides high scalability using computer and storage clustering. As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). Specifically, HPC features include locality computing, concurrent processing, parallel processing, and in-memory computing. In addition, the APIs and the plug-in architecture are discussed.

Choosing an Engineering Object Data Management System

1992 ◽  
Author(s):  
Chet Wood
Keyword(s):  
Data Management ◽  
Management System ◽  
Database Management ◽  
Object Oriented ◽  
Database Management System ◽  
Data Management System ◽  
Object Database ◽  
The Right ◽  
Data Requirements ◽  
Object Oriented Database

Abstract An Object Database Management System (ODMS) can be a very useful component when developing applications for use in engineering and manufacturing. Choosing the right product requires a thorough analysis of the data requirements of one’s application, and an equally thorough study of the characteristics of the vendor products. Over a period of about two years, data was gathered on the products of object oriented database manufacturers and researchers. As an example of how to analyze database requirements, an overview of the requirements of our application is presented, followed by a tutorial on the elements and features provided by an ODMS. A brief description is given of each of about a dozen products. Finally, there are tables comparing specific features of a number of these systems.

Perancangan Basis Data Sistem Informasi Penjualan Barang (Studi Kasus: Minimarket “ABC” Sidareja)

2020 ◽  
Vol 2 (1) ◽  
pp. 61-68
Author(s):  
R Bagus Bambang Sumantri ◽  
Fajar Mahardika
Keyword(s):  
Data Processing ◽  
Management System ◽  
Database Management ◽  
Database Design ◽  
Database Management System ◽  
Effective Decision ◽  
Time Information

Data processing to produce a computerized information is a tool that needed at this time in various types of business because the information capable presented within quickly and accurately time. Information which capable of quickly and accurately presented can produce quickly and effective decision but the database design that applied in a database management system is no less important Good database design will facilitate the implementation of aplications and optimize the performance of the database manajemen system itself.

Data Modeling for Big Data

2015 ◽  
Vol 6 (1) ◽  
pp. 1-11 ◽  
Author(s):  
M Misbachul Huda ◽  
Dian Rahma Latifa Hayun ◽  
Zhin Martun
Keyword(s):  
Big Data ◽  
Data Management ◽  
Relational Database ◽  
Management System ◽  
Database Management ◽  
Large Scale ◽  
Database Management System ◽  
Large Scale Data ◽  
Relational Database Management ◽  
Scale Data

Today the rapid growth of the internet and the massive usage of the data have led to the increasing CPU requirement, velocity for recalling data, a schema for more complex data structure management, the reliability and the integrity of the available data. This kind of data is called as Large-scale Data or Big Data. Big Data demands high volume, high velocity, high veracity and high variety. Big Data has to deal with two key issues, the growing size of the datasets and the increasing of data complexity. To overcome these issues, today researches are devoted to kind of database management system that can be optimally used for big data management. There are two kinds of database management system, relational database management system and nonrelational system that can be optimally used for big data management. There are two kinds of database management, Relational Database Management and Non-relational Database Management. This paper will give reviews about these two database management system, including description, vantage, structure and the application of each DBMS. Index Terms - Big Data, DBMS, Large-scale Data, Non-relational Database, Relational Database.

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