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Name:
LDAPReader
Description:
Reads information from LDAP directory trees, converts it to data records and sends them to all connected output ports.
CloverETL Engine
CloverETL Engine is a commercial open source, Java based data integration framework which can be used to transform data.
While using Java technology it allows for platform independence. It can be used standalone - as a server application or can be embedded in other applications as a transformation library.
CloverETL Engine is released under dual-license:
- commercial
- LGPL License.
Feature Highlights
- internally represents all character data as Unicode - any character from any codepage can be represented - ASCII, LATIN, ASIAN, etc.
- converts data from & to common character sets (ASCII, UTF-8, ISO-8859-1,ISO-8859-2, etc)
- contains palette of more than 50+ specialized transformation components
- nativelly supports all major industry standard databases (Oracle, MS SQL, DB2, Infromix, Sybase) and several open source variants (MySQL, PostgreSQL). Other databases are supported through JDBC layer
- reads & writes XML data/ Excel (XLS) data/ variable length data (CSV) / fix-length data and several other not so common formats
- reads&writes dBase/FoxPro/FlashFiler/QuickBase data
- supports remote reading/writing of data through FTP/SFTP/HTTP/HTTPS protocols, also works with ZIPed & GZIPed data
- offers 5 different lookup table types (Simple, Range, Database, Persistent, Aspell)
- runs on 32bit & 64bit platforms - Windows, Linux, AIX, Solaris, HP-UX, AS/400 (System i) and many others
More Features
- data records are internally handled as a variable-length data structures - can handle very large records (theoretical limit 231)
- fields can have default values, text formats, NULL value checkers
- contains connectors to other systems through standard protocols: middleware - JMS, LDAP, SOAP
- transformation of data is performed by independent components, each running as an independent thread - can utilize more than one CPU (is very scalable)
- framework implements so called pipeline-parallelism - when data record is processed by component, it is immediately sent to the following component for additional processing.
- contains interpreter of specialized transformation language - CTL
- transformations (mappings) of data can be also coded directly in Java or any other scripting language
- metadata describing structures of data (records) and transformations can be read/written from/to XML
- works with common Source Code Management Systems - CVS, SVN, SourceSafe
- can be easily extended by custom components
CloverETL Engine Overview
More detailed information on CloverETL Engine's functionality can be found in the CloverETL Engine Overview slides (in PDF format).
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Download
Please go to the download page to get the latest release.
ETL version
Current ETL version: 2.7.2
Release Date: 2009-07-01
Release Date: 2009-07-01