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osDQ dedicated to create apache spark based data pipeline using JSON
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 ....
...DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy.
License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, ... each has their own licenses.
SplitPDF -SplitPDF.jar- is a ‘command-line driven’ Java-program, it splits a PDF-file by bookmarks into separated PDF’s. The bookmark is used as title for the newly created PDF. Extremely usefull and fast in a batch processing environment.
A generic SQL driven data audit tool for detecting differences between any JDBC accessible database tables and other data sources. Platform independent. It's a unix like diff for databases. Produces key values with the differing column name and data
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