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...The data structures tend to change over time, or not be known in advance, working with them must be maintained;
3. All routine work ETL should be automated wherever possible;
4. Compiling the code on the fly bail speed and reserve for the optimization;
5. Sophisticated class hierarchy guarantee easy connection of other open source solutions.
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.
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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.