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Parallels Desktop 5 and VMware Fusion 3 get faster, smarter, and optimized for Windows 7, while Sun’s VirtualBox 3.1 lags behind
Master Data Management Projects in Practice - An Information Difference Research Study
Master Data Management (MDM) has received growing attention recently as an essential component of information management alongside data governance and data quality. More and more, organizations are turning to Master Data Management as a key enabler in improving the timeliness, quality and reliability of business intelligence with the ultimate goal of improving business performance. Increasing regulatory requirements and the recent financial crisis have ensured that Master Data Management is increasingly finding its way onto the business agenda. Information Difference conducted a survey of both end-user organizations and systems integrators aimed at gaining deeper insight into MDM implementations and their success factors. This report summarizes and analyzes the results of that survey, and presents practical recommendations on the "do and don't" of MDM. It also contains some enlightening findings on the use of open source and manual coding in MDM projects.
Open Source Master Data Management: The Time is Right
Many organizations consider high quality master data as a key strategy for accomplishing corporate objectives. Proper master data management (MDM) is indeed extremely valuable when available to enterprise business processes and analytics, however, master data projects are often politically challenging, architecturally complex, time intensive and expensive. This White Paper provides an explanation of why the time is right for open source MDM, and predicts the effects of open source on the MDM marketplace.
Practical Open Source Data Integration: Case Studies & Implementation Examples (Vol. 3)
Over the past few years, commercial open source vendors have been providing a real alternative to proprietary players. In the data integration space, enterprise grade open source solutions are adopted by many organizations for their data integration and data quality projects. These organizations span all industries, all continents, and all company sizes. More importantly, their projects range from ETL for business intelligence to operational data, data quality, master data management, etc. This third volume of Practical Open Source Data Integration: Case Studies & Implementation Examples presents selected case studies, illustrating real-life implementations of open source data integration and its associated benefits.
High Performance for Integrating Massive Data Volumes
This Technical White Paper presents a variety of technologies that are available for accelerating the processing of large data volumes, including massive parallelization, optimized data-set-mode processing based on Map Reduce, grid deployment, and load balancing.
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I heard mention that the Chrome OS will have some sort of encryption available a la bitlocker. If it's possible to encrypt personal data using another password or key, then it may have potential for very secure data.... And Ubuntu has an 'encrypt home directory' option, perhaps google should follow suit.
- Dann
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