Open Source ETL Tools - Page 4
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A command line utility to read a text file containing lines of data, clean up any CR/LF anomalies, and output the lines of text with clean CR/LF terminators to standard output. The binary is a Windows 32 bit console app.
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Transporter
Sync data between persistence engines, like ETL only not stodgy
Compose Transporter helps with database transformations from one store to another. It can also sync from one to another or several stores. This version officially only supports the mongodb and postgresql adaptors. Support for other DBs will be added later on. Other adaptors may or may not work. You're encouraged to still use v0.5.2 for non mongo/postgres migrations. Transporter allows the user to configure a number of data adaptors as sources or sinks. These can be databases, files or other resources. Data is read from the sources, converted into a message format, and then send down to the sink where the message is converted into a writable format for its destination. The user can also create data transformations in JavaScript which can sit between the source and sink and manipulate or filter the message flow. Adaptors may be able to track changes as they happen in source data. This "tail" capability allows a Transporter to stay running and keep the sinks in sync. -
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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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Better SQL in java! Offering a seamless java class mapping and SQL-like domain-specific language implemented for number of commercial and open-source DBMS
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common-etl
A common ETL framework utilizing spring.
This project is meant to do all the dirty threading work for you. The intention is to use this project as an archetype to provide a framework for writing ETLs. It contains an Extractor Thread, a Loader Thread and a Transformer Thread. All that is needed is to add the necessary business logic for your ETL while not having to worry about making sure your threading is correct. -
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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.
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doXfolder
Document Management System
Document Management System created using JEE6 -
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“Genoma Datawarehouse framework version 1.0” esta compuesto por un conjunto de atributos y entidades relacionadas entre si que tienen por objetivo almacenar los datos en un datawarehouse corporativo.
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Prototype of an ETL tool for Extracting, Transforming, Loading data into dimensional data model for data warehouse or something else
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netflux aims to be an ETL tool providing the following: 1. A set of core classes that may be used programatically to be embedded in any application 2. A graphical tool able to edit and run ETL processes 3. A server able to run ETL processes
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Python library that simplifies the creation of a wide range of data management applications. Build scalable ETL (Extract, Transform, Load) applications quickly. Created at a genetics and molecular biology research laboratory.
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Pypes is a framework which allows users to break complex data processing logic down into a series of smaller less complex tasks. These tasks, referred to as components, can then be connected so that the output of one becomes the input to another.
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webStraktor is a programmable World Wide Web data extraction client. Its purpose is to scrape HTML based content via the HTTP protocol and extract relevant information. webStraktor features a scripting language to facilitate the collection, the extraction and the storage of information available on the web, including images. The scripting language uses elements of the Regular Expression and xPath syntax. The webStraktor scripting language has a small instruction set and its syntax is easy to master. The standard webStraktor output format is XML based, either in ASCII, UTF-8 or ISO-8859-1 (Latin1) code pages. webStraktor relies on the Apache HttpClient for retrieving content via the HTTP protocol. It adheres to the Robots Exclusion Protocol and it can be configured to operate in an anonymous way by connecting to the predominant types of web proxy servers. webStraktor extends the functionality of web crawlers, spiders or bots by integrating scraping and crawling capabilities.