This is the Linux app named apache spark data pipeline osDQ whose latest release can be downloaded as osdq-spark_0.0.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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apache spark data pipeline osDQ
DESCRIPTION
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. Also copy winutils.exe from here into HADOOP_HOME\bin
Features
- Create data pipeline like using Join, Filter, Aggregate, Case statement
- Use Data Quality - replace, drop, join,
- Data Profiling, Column base Profiling
- Fuzzy Join - cosine distance and others
- classification and sampling - random forest, Multi class neural network
- data normalization - zscore, std deviation, ratio score,
- Sampling Random, Stratified , Key based
Audience
Information Technology, Other Audience, Architects
User interface
Console/Terminal
Programming Language
Java, Scala
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/apache-spark-osdq/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
