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This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip file Windows : java -cp .\lib\*;osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c .\example\samplerun.json Mac UNIX java -cp ./lib/*:./osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c ./example/samplerun.json For those on windows, you need to have hadoop distribtion unzipped on local drive and HADOOP_HOME set. ...

...last Changes: - JSON HTTP Client - HTTP Auth for Basic, SAP Basic+SSO, WSSE - Bugfixes: Big Integer, negative Integer - Array with has_next/next - Object with robust set_text method - OpenWeatherMap.org Example (see files/example)

...The application of this method is very broad, from science to industry, finance and health. The accuracy and robustness improvement of our method over existing method could bring huge benefits in some critical applications. For example, natural disaster prediction, stock price prediction, personal/population disease prediction. The fast-speed nature of our method not only allows big data analysis but also enables real-time recognition and predictions. The RBR framework also hints the mechanism of brain function and leads to a "wide learning" hypothesis. We believe that this method will make a great impact and enable many downstream applications.

...The project is intended to handle big data. What's more important is that it be used to detect clusters of SNP variants. It is the intention to use the toolbox with common and rare variants. To use it, for example, to find the genetic map of genes causing complex diseases.

Source code for be able to use Relation Tags. It is part of project VocabularyMem but can be used separately. Relation Tags are tags which can be relationed together . For example tag "Paris" and tag "France" can be relationed with a relation "is part of". This code is created from 0 and is able to define which type of relation we use, using most elemental mathematic properties. It is strongly recommended to read "Relation Tags guide for programmers". Inside source zip, also contains dialogs for set properties of this extended tags. ...

Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)! Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects. Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. You can use it too. Who doesn't have `just too many' log files? ...