Open Source Java ETL Tools for Mac
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Java ETL Tools for Mac
View 33 business solutionsBrowse free open source Java ETL Tools for Mac and projects below. Use the toggles on the left to filter open source Java ETL Tools for Mac by OS, license, language, programming language, and project status.
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GeoKettle is a powerful, metadata-driven spatial ETL (Extract, Transform and Load) tool dedicated to the integration of different data sources for building and updating geospatial databases, data warehouses and services.
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JBerd
Java tools for decoding and manipulating BER encoded ASN.1 Files
A simple Java ASN BER decoder and profiler A tool for easy manipulation of BER encoded files. An "awk" for ASN.1 BER (for Unix people) or maybe a "notepad" for ASN.1 BER (for Windows people). Jberd (Java BER decoder) is a lightweight BER decoder and associated tools for interpreting and processing BER encoded ASN.1 files. The following facilities are provided: • JBerd Profiler. A tool for profiling the contents of BER encoded files • JBerd Flattener. A tool for converting BER encoded files to flat files for processing by other facilities • JBerd Decoder objects. A set of Java facilities for writing BER applications that require BER decoding Go to the "files" section (link at the top of this page) to download a pdf of detailed documentation. Andrew Forsyth -
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Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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The aDORe Federation is a standards-based federated repository framework and reference implementation which aims to address many of the scalability issues experienced by large scale digital object repositories.
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apache spark data pipeline osDQ
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 .\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
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