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...And for ETL alike work like Load and filter files -> Extract -> Transform output.
For replacing files, you can preview and backup, in multiple directories and files or pipe, with plain text matching or using general Regex as C++, C#, Java, Scala; So msr is a good tool to learn and test Regex since it has different colors for matched groups captured by the Regex pattern.
osDQ dedicated to create apache spark based data pipeline using JSON
...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
File Based DBMS & ETL Tool: OpenSQL is a file based database management system which uses SQL like features to accept the query request and return the query response. In later phase of this project, ETL based features will be added.
New customers can spin up VMs, build with AI, and query data at no cost.
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The BEE Project is a suite of tools supporting Business Intelligence project implementation including ETL tool and OLAP server and a thin client. The ROLAP server ensures multipass SQL generation and powerful cache management (utilizes MySQL RDBMS).
The cplusql distributed ETL tool extracts and transforms row based data from
databases and flat files for terabyte scale datawarehouse loading. RSN: beowulf job queueing and cluster fs! Every day at LookSmart, it translates 200+mm rows on 100+ nodes.