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Exploring Different Test Data Management Strategies

Test Data Management (TDM) is about the provisioning of data for non-production environments, especially for test purposes but also for development, training, quality assurance, demonstrations or other activities. Test data has always been required to support application development and other environments but until the relatively recent advent of TDM this

6 Threats To Cloud Computing

Cloud Computing is the latest buzz in IT. Businesses should not just adopt cloud computing based on the hype but should have in-depth knowledge of various aspects of cloud computing before going for it. Though there are cloud service providers capable of providing excellent services, there still are some threats

How to Manage Data Center Complexity

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Complexity in the data center can have a number of adverse effects on the enterprise. To mitigate the complexity in true sense, organizations need training, standardization and information governance. More>>

Staff – the weakest link in the quest for data protection

In the world of data protection, one event has the potential to undo years of progress for any organisation. Staff will always be the weakest link in matters of information security and data protection. Staff education and training in all aspects of data protection is therefore vital.Staff education and training

How to minimize the risk of, or respond to, a data breach

Today data security is increasingly a concern as companies have become targets for people, both internally and externally, misappropriating private information. To ensure the data privacy of their organization, companies must partner with vendors that have significant experience advising clients on best practices. More>>

6 Tips for Applying Data Quality Practices to Data Governance Programs

The barriers to data governance are erased when an organization adopts the techniques and best practices of data quality and the closely related practice of data stewardship. That's because the business-to-IT collaboration established by quality and stewardship practices is also required of data governance. In fact, quality and governance practices

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