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Showing 4 open source projects for "drop"
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Metl ETL Data Integration
Simple message-based, web-based ETL integration
Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components. -
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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... -
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TabZilla
Ad-hoc data replication for Oracle database.
#FreeUkraine #SaveUkraine #StopRussia #StopPutin #CrimeaIsUkraine #UnitedForUkraine #RussiaInvadedUkraine UI written using wxPython. Allows you, to copy tables between Oracle databases using drag-n-drop interface. AKA filezilla, but for tables, not files. -
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Drop is a graphical interface for the GPL project Wets (hosted in SourceForge). Wets is an ETL software.
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