Search Results for "quality management"

"Information is data in action", and, consequently, having good quality data is essential. The AESTEL package contains two highly configurable applications for data management: A data loader and a reporting application, i.e. DataLoader and AEREA, respectively. The data loader application applies user-defined instructions to validate, process and load data. The reporting application provides a query builder and spreadsheet template designer.

This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. ...

Please, visit www.cloverdx.com for latest product versions. Data integration platform; can be used to transform/map/manipulate data in batch and near-realtime modes. Suppors various input/output formats (CSV,FIXLEN,Excel,XML,JSON,Parquet, Avro,EDI/X12,HL7,COBOL,LOTUS, etc.). Connects to RDBMS/JMS/Kafka/SOAP/Rest/LDAP/S3/HTTP/FTP/ZIP/TAR. CloverDX offers 100+ specialized components which can be further extended by creation of "macros" - subgraphs - and libraries, shareable with 3rd...

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...

DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io

A generic SQL driven data audit tool for detecting differences between any JDBC accessible database tables and other data sources. Platform independent. It's a unix like diff for databases. Produces key values with the differing column name and data

DBBrowser is an open source (GPL license), cross-platform tool which can be used to view the contents of a database. It works with Oracle and MySQL. The user can view, modify, delete records without writing SQL.

OLAP mapper is an OLAP engine written in Java. It enables you to interactively analyze very large datasets stored in SQL databases without writing SQL. The main concept of application is based on the star schema visualization.

This project is focus on manufacturing online SPC (Statistical Process Control) system. QA Inspector will online update the sampling dimension data into database. Statistician will get all the quality status from this program.

FormatCheck screens flat files looking for violations in the format of the data. It uses a set of XML files that define the rules for each file format. The Swing front-end allows the user to run the verification, view and print the errors.