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P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven.
GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL».
GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with...
Talend Spatial Module (aka Spatial Data Integrator or SDI) is an ETL tool for geospatial. Based on Talend Open Studio, input, output and transform geocomponents are available. IO components read/write GIS formats(eg.PostGIS, GeoRSS). Transformers all
JAETL - Just Another ETL tool is a tiny and fast ETL tool to develop data warehouse. JAETL allows to Extract data from ARFF (Weka), CSV, and SQL, Transform the data with join, replace missing values, remove duplicates, mapping filtering, variable selection, and Load the data into SQL server and export to CSV and ARFF.
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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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.
Open source Extract Transform Load engine written in Java
...It includes executables for all major platforms and can be easily integrated into other applications.
Key Features:
* embeddable, open source and free
* fast and scalable
* uses target database features to do transformations and loads
* manual and automatic datamapping
* data streaming
* bulk data loads
* data quality features using SQL, JavaScript? and regex
* data transformations
Requirements
* Java 1.6 and up
* At least 4 MB of RAM
New in 3.2 (01/18/2013)
* Improved auto-update functionality
* Bug fixes
Utility that performs bulk user import to Active Directory from selected data sources. It can perform datamapping and generate required fields using existing info( generate userPrincipleName from name, surname and patronymic of user for example). This is still a beta-release, so things can work not so well sometimes.