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AnalytiX Data Services, popularly known as AnalytiX DS, today announced the release of their Mapping Manager Version 5.0, a premier tool that has the capability to automate “pre-ETL” source to target mapping processes. The patented AnalytiX Mapping Manager (AMM) helps architects and data analysts eliminate the manual data mapping processes, to create mappings using user friendly drag and drop techniques in a purpose built environment that capitalizes on source, target, and model meta data. It further helps its business users organize data mappings into project folder categories and consolidate mappings into a versioned data mapping repository which manages and tracks the data mapping through the workflow process. AMM can be integrated with industry’s leading ETL and ELT tool providers like Informatica, IBM DataStage, Talend and Microsoft SQL Server and others.
With the release of AMM version 5.0, AnalytiX DS has tried to address a lot of issues in the pre-ETL space that were overlooked until now. The new features such as enhanced code-set mapping, enhanced lineage analysis, Reference Data Management, multiple customizable field options, and a business oriented view of our System Manager module, allowing business user access to Lineage and Impact analysis, Global Meta Data Search, and Enterprise Data Dictionary management make the tool exponentially more valuable!
Mike Boggs, the founder and CTO of AnalytiX DS said,“Through the addition of our Code Automation Template Framework or CATfX, we have raised the bar and offered the option of extreme integration capabilities to all of our existing and future customers. Custom Code Generation through CATfX creates the option to define an infinite number of patterns that fit just about any environment CATfX truly is ‘A Better Breed of CAT’.”
“We chose the Cheetah as our logo for CATfX because of its incredible speed and agility, our product offers similar speed and agility and will make integrations done with our tools, the fastest and most agile of their kind - Bringing further acceleration to project delivery, and near immediate ROI. AnalytiX Mapping Manager and its new modules in Version 5.0 bring this and a number of other game-changing innovations to the forefront of the integration industry”, Mike continues.
Following the release of first mapping manager in 2007, AnalytiX DS has dominated and expanded to include just about every necessary function in the pre-ETL mapping space. As a result, they have rapidly grown from a handful of customers to over 700+ worldwide, including a number of Tier 1 partners and resellers. System integrators at a global level are utilizing AnalytiX DS’ expertise in this niche pre-ETL area and standardizing the data mapping process in their integration projects, automating ETL Platform Conversion, and Generating Custom CATs (Code Automation Templates) to populate standard models for Data Vault integration, Financial Services, Life Sciences and other Industry Standard Models.
About AnalytiX Data Services
AnalytiX Data Services (analytixds.com) is an international software and technology services company offering services in support of our software solution. Headquartered in Chantilly, VA - AnalytiX DS specializes in the development of ‘agile tools’ for the data integration industry which automate manual processes and enable organizations to accelerate delivery and operate more efficiently while lowering costs of delivery. AnalytiX DS has two innovative technology breakthrough software solutions:
Mapping Manager®, which scans metadata and enables automated drag n drop, building and versioning of the pre-ETL source to target mapping process and automated code-generation which automates the ETL process and integrates with Leading ETL tool providers like Informatica PowerCenter, IBM DataStage, Talend Data Integrator, Micrososoft SSIS, Oracle Data Integrator and others.
LiteSpeed Conversion®, a leading software technology platform which operates in the cloud as a Software as a Services (SaaS) instantly allowing customers to convert from one ETL tool platform to another savings customers years of manual work and millions of dollars to manually convert ETL jobs between ETL platforms.
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