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Apatar Data Mashup Integration |
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| Business > Project Management > Apatar Data Mashup Integration |
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Download Screenshot File Size: 28.71 MB Price: Free | ||
| Apatar Data Mashup Integration - Apatar is an open source mashup data integration and ETL tool you can free download Apatar Data Mashup Integration Apatar is the open source leader in data mashup integration. It is the first company to bring open source data mashups solutions. Apatar performs a wide range of ETL (Extract, Transform, and Load) functions and allows easily join your desktop data with the web. Connectors include: MySQL, PostreSQL, Oracle, MS SQL, Amazon, Compiere, SugarCRM, Oracle, PostgreSQL, XML, CSV and even Flickr. Features include: Visual job designer and mapping enable non-developers to design and perform transformations. Connectors include: MySQL, PostreSQL, Oracle, MS SQL, Amazon, Compiere, SugarCRM, SalesForce.Com, XML, flat files. Single interface to manage integration projects. No coding is required to accomplish even a complex integration. Benefits: Reduce integration cost, Improve data quality, Shorten implementation time, Reduce maintenance costs, Eliminate custom coding. Why Apatar? Unlike most proprietary data integration offerings, Apatar brings a low-cost, on-demand, open source data integration to the masses where users can publish, share and re-use integration mappings over the web. 100% Java, Apatar is multi-platform application with scalable architecture for large deployments. Ideal for integrating on-premise data with the web. Connects major applications and data sources, has connectors for the most popular Web 2.0 APIs such as Flickr, Salesforce.com, Amazon. Visit http://www.apatar.com for more information. Visit blog "Naked Open Source" http://www.apatar.com/blogs/renat for articles on Web 2.0, Enterprise 2.0, Office 2.0, mashups, APIs, mashup building tools, and musings on data integration, open source and the business of software. data integration, database, mashup, mashups, ETL, replication, migration, MySQL, MS SQL, Oracle, PostgreSQL, EAI, EII, ESB, BI, DW, extract, transform, load, information, data quality, cleansing, de-d | ||
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