Today has been released [https://datacleaner.github.io/release/2017/07/26/datacleaner-5.2.2-released.html] version 5.2.2of DataCleaner [https://datacleaner.github.io/]community edition En TodoBI os hemos contado bastante sobre DataCleaner ( Ver posts con demos [https://todobi.com/tag/data+cleaner/]) What is DataCleaner? Data profiling

The heart of DataCleaner [http://datacleaner.org/]is a strong data profiling engine for discovering and analyzing the quality of your data. Find the patterns, missing values, character sets and other characteristics of your data values. Profiling is an essential activity of any Data Quality, Master Data Management or Data

We show this great collection of tips, tricks and great stuff on Open Source Business Intelligence, including the best of 2014 regarding: Pentaho, Open Source Business Intelligence, Mondrian, Saiku, CTools, Data Cleaner, Visualization, Open Data, STools and more... An 'useful handbook' for any Open Source Business Intelligence developer,

Hace poco hablábamos de Data Quality [https://todobi.com/etl-y-dataquality-open-source/]y comentabamos sobre Data Cleaner. Ahora presenta una versión mejorada [http://datacleaner.org/newsitem/datacleaner-3.5.10-released]. So... What's new then? * You can now compose jobs so that a DataCleaner job actually calls/invokes another "child"

Datacleaner [http://datacleaner.org/], una de nuestras herramientas favoritas se mueve a Github [http://datacleaner.org/newsitem/move-to-github]y lo celebramos. Si queréis saber más sobre ETL y Dataquality, como funcionan conjuntamente Kettle, Pentaho Data Integration y DataCleaner, echar un vistazo en su web o en las siguientes presentaciones y

Today we are happy of showing a quick test of theDataCleaner plugin for PDI /Kettlein order to improcve Data Quality issues. The installation is as easy as unzipping it on \data-integration\plugins\spoon. Download it from here: http://s3.amazonaws.com/kettle4/kettle-profiling-datacleaner.zip The plugin includes a Job entry