Real-Time Data Capture Model for Accelerated Payment of Small-Scale Farmers

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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Change Data Capture on OLTP Staging Area for Nearly Real Time Data Warehouse Base on Database Trigger

International Journal of Computer Applications ◽

10.5120/8248-1762 ◽

2012 ◽

Vol 52 (11) ◽

pp. 32-37

Author(s):

I MadeSukarsa ◽

Ni Wayan Wisswani ◽

I K. Gd. Darma Putra ◽

Linawati Linawati

Keyword(s):

Real Time ◽

Data Warehouse ◽

Data Capture ◽

Time Data ◽

Change Data Capture ◽

Staging Area ◽

Real Time Data

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An electronic application to improve management of infections in low-income neonatal units: pilot implementation of the NeoTree Beta App in a public sector hospital in Zimbabwe.

10.1101/2020.09.25.20201467 ◽

2020 ◽

Author(s):

Hannah Gannon ◽

Simbarashe Chimhuya ◽

Gwendoline Chimhini ◽

Samuel Neal ◽

Liam Shaw ◽

...

Keyword(s):

Real Time ◽

Low Income ◽

Newborn Care ◽

Data Capture ◽

Junior Doctors ◽

Time Data ◽

Digital Tool ◽

Mortality And Morbidity ◽

Laboratory Staff ◽

Real Time Data

There are 2.9 million annual neonatal deaths worldwide. Simple, evidence-based interventions such as temperature control could prevent approximately two-thirds of these deaths. However, key problems in implementing these interventions are a lack of newborn-trained healthcare workers and a lack of data collection systems. NeoTree is a digital platform aiming to improve newborn care in low-resource settings through real-time data capture and feedback alongside education and data linkage. This project demonstrates proof of concept of the NeoTree as a real-time data capture tool replacing hand-written clinical paper notes over a 9-month period in a tertiary neonatal unit at Harare Central hospital, Zimbabwe. We aimed to deliver robust data for monthly mortality and morbidity meetings, and to improve turn-around time for blood culture results among other quality improvement indicators. There were 3222 admissions and discharges entered using the NeoTree software with 41 junior doctors and 9 laboratory staff trained over the 9-month period. The NeoTree app was fully integrated into the department for all admission and discharge documentation and the monthly presentations became routine, informing local practice. An essential factor for this success was local buy-in and ownership at each stage of the project development, as was monthly data analysis and presentations allowing us to rapidly troubleshoot emerging issues. However, the laboratory arm of the project was negatively affected by nationwide economic upheaval. Our successes and challenges piloting this digital tool have provided key insights for effective future roll-out in Zimbabwe and other low-income healthcare settings.

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Some methodological and analytical issues related to real-time data capture studies.

Translational Issues in Psychological Science ◽

10.1037/tps0000177 ◽

2018 ◽

Vol 4 (4) ◽

pp. 349-361 ◽

Cited By ~ 1

Author(s):

Abigail M. Nehrkorn-Bailey ◽

Michaela S. Reardon ◽

Julie Hicks Patrick

Keyword(s):

Real Time ◽

Data Capture ◽

Time Data ◽

Real Time Data

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Spoken dialog system for real-time data capture

10.21437/interspeech.2005-779 ◽

2005 ◽

Author(s):

Esther Levin ◽

Alex Levin

Keyword(s):

Real Time ◽

Data Capture ◽

Time Data ◽

Dialog System ◽

Spoken Dialog System ◽

Real Time Data

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The use of the Global Positioning System for real-time data collecting during ecological aerial surveys in the Kruger National Park, South Africa

Koedoe ◽

10.4102/koedoe.v37i1.332 ◽

1994 ◽

Vol 37 (1) ◽

Cited By ~ 12

Author(s):

P.C. Viljoen ◽

P.F. Retiff

Keyword(s):

Real Time ◽

Global Positioning System ◽

National Park ◽

Kruger National Park ◽

Data Capture ◽

Positioning System ◽

Time Data ◽

Aerial Surveys ◽

Global Positioning ◽

Real Time Data

The use of the Global Positioning System (GPS) for real-time data collecting during ecological aerial surveys (EAS) in the Kruger National Park (KNP) was investigated as an alternative to post-survey manual data capture. Results obtained during an aerial census of large herbivores and surface water distribution in the northern part of the KNP using an onboard GPS connected to a palmtop computer are discussed. This relatively inexpensive system proved to be highly efficient for real-time data capture while additional information such as ground velocity and time can be recorded for every data point. Measures of distances between a ground marker and fix points measured during a flight (x = 60.0 m) are considered to be well within the requirements of the EAS.

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