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Showing 5 open source projects for "process"
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1
The intellectual system of Eidos
http://lc.kubagro.ru/
http://lc.kubagro.ru/ http://lc.kubagro.ru/aidos/index.htm http://lc.kubagro.ru/aidos/_Aidos-X.htm On the IBM PC, the Eidos system started working in 1992. MS Windows has been running since 2012. Implemented in Alaska+Express. I want to try to translate some modes, and maybe all of them, to the Harbor. The full source text in a single file is here: http://lc.kubagro.ru/__AIDOS-X.txt Responsible Secretary Kubgau scientific journal, Professor of computer science Department Kubgau... -
2
An introduction to Data Analysis in R
A guide for learning the basic tools on data anaylisis with R
An Introduction to Data Analysis in R [Book] A guide for learning the basic tools on data anaylisis: process, visualize and learn from your data using R programming. This repository holds the necessary data sets for the book "An introduction to Data Analysis in R", to be published by Springer series Use R!. The book can be purchased in XXX. The book is meant as an introductory guide to manipulate data sets in the Big Data paradigm. -
3
json4sapnw
Another JSON extension for SAP ABAP
This is a SAP addon to handle JSON data within SAP ABAP Programs. It comes in the customer exchange namespace /CEX/ and has to be installed as an SAP transport request. The addon supports object oriented JSON methods to process deep structured JSON data. Building JSON data from SAP data objects and parsing JSON data back to SAP data objects are supported. See the WIKI for some examples. Thanks to the SAP community and especially to Rüdiger Plantiko for the basic work (http://ruediger-plantiko.blogspot.de/2010/12/ein-json-parser-in-abap.html). ... -
4
giServer
giServer the easy to use and extensible batch and integration server
The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
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5
MapReduce Brazil
Aggregates MapReduce projects
Nowadays the production and storage of Big Data is common, both in the academy and in the enterprises. To process this huge amount of data it is essential the use of high performance platforms and programming models like MapReduce
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