Technical Data Capture in Geological and Geophysical Data Management : ABSTRACTS

AAPG Bulletin ◽  
1997 ◽  
Vol 81 (1997) ◽  
Author(s):  
FONT, ROBERT G., and ELAINE M. TRAV
Keyword(s):  
Data Management ◽  
Data Capture ◽  
Geophysical Data ◽  
Technical Data

scholarly journals ABSTRACT STRUCTURE OF CONFIGURATION SYSTEM FOR PRODUCT DATA MANAGEMENT SYSTEM

Aviation ◽  
2008 ◽  
Vol 12 (4) ◽  
pp. 124-128 ◽  
Author(s):  
Linas Burneika
Keyword(s):  
Data Management ◽  
Product Data Management ◽  
Data Management System ◽  
Product Data ◽  
Technical Data ◽  
Different Types ◽  
Configuration System ◽  
Abstract Structure ◽  
Product Data Management System ◽  
Representation Of Knowledge

A product configurator is a system providing questions and sets of possible answers about products with sets of possible answers. This paper proposes a new idea for a configurator in which information about products are expressed as a structured net of interconnected classes of different types. Classes hold information about assemblies, product structural links, and logical constraints. Some classes have references to technical data on a product data management (PDM) system. Such a system allows flexible representation of knowledge about product configurations for production of aviation equipment. Santrauka Gaminio konfigūratorius yra programinė sistema, pateikianti klausimus apie produktą su galimais pasirinkimų variantais. Šiame darbe pasiūlyta nauja konfigūratoriaus idėja ir pateiktas konfigūracijų aprašo modelis. Šis modelis buvo kuriamas taip, kad juo būtų galima aprašyti realius, dažnai tobulinamus ir sudėtingos sandaros gaminius. Modelyje informacija apie gaminį pateikiama kaip tarpusavyje sujungtų įvairių klasių tinklas. Modelio klasėse saugoma informacija apie gaminio junginius, komponentų ryšius ir loginius apribojimus. Siūlomas konfigūracijų aprašo modelis leidžia lanksčiai perteikti inžinerines žinias apie įvairių gaminių, tarp jų ir aviacijos reikmėms skirtų gaminių, variantus.

WRFM Technical Data Management - An Enabler for Effective WRFM Value Loop Excellence

2016 ◽  
Author(s):  
Iheajemu Kingsley ◽  
Attah Thomson ◽  
Igban Kalu ◽  
Adeniran Babatunde
Keyword(s):  
Data Management ◽  
Technical Data

scholarly journals Analysis, Deployment and Integration of Platforms for Fog Computing

2020 ◽  
Vol 20 (2) ◽  
pp. e12
Author(s):  
Joaquín De Antueno ◽  
Santiago Medina ◽  
Laura De Giusti ◽  
Armando De Giusti
Keyword(s):  
Data Management ◽  
Sensor Network ◽  
Experimental Work ◽  
Response Times ◽  
Fog Computing ◽  
Data Capture ◽  
Local Data ◽  
Iot Applications ◽  
Flow Of Information ◽  
Large Flow

In IoT applications, data capture in a sensor network can generate a large flow of information between the nodes and the cloud, affecting response times and device complexity but, above all, increasing costs. Fog computing refers to the use of pre-processing tools to improve local data management and communication with the cloud. This work presents an analysis of the features that platforms implementing fog computing solutions should have. Additionally, an experimental work integrating two specific platforms used for controlling devices in a sensor network, processing the generated data, and communicating with the cloud is presented.

scholarly journals Kajian Pendekatan Binary Log dalam Change Data Capture

2017 ◽  
pp. 11
Author(s):  
Muhammad Febrian Rachmadhan Amri ◽  
I Made Sukarsa ◽  
I Ketut Adi Purnawan
Keyword(s):  
Data Management ◽  
Real Time ◽  
Data Warehouse ◽  
Data Capture ◽  
Problem Solution ◽  
Time Data ◽  
Quality Of Data ◽  
Data Manipulation ◽  
Change Data Capture ◽  
Real Time Data

The online business era causes the form of transactions to occur so quickly that the information stored in the data warehouse becomes invalid. Companies are required to have a strong system, which is a system that is real time in order to be able to perform data loading into the media repository that resides on different hosts in the near-real time. Data Warehouse is used as a media repository of data that has the nature of subject-oriented, integrated, time-variant, and is fixed. Data Warehouse can be built into real time management with the advantages possessed and utilize Change Data Capture. Change Data Capture (CDC) is a technique that can be used as problem solution to build real time data warehousing (RTDW). The binary log approach in change data capture is made to record any data manipulation activity that occurs at the OLTP level and is managed back before being stored into the Data Warehouse (loading process). This can improve the quality of data management so that the creation of the right information, because the information available is always updated. Testing shows that Binary Log approach in Change Data Capture (BinlogCDC) is able to generate real time data management, valid current information, dynamic communication between systems, and data management without losing any information from data manipulation.

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