
Data
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Semantic Data
Four Critical Principles of Data Governance Success
I've said it many times: data governance is one of the most important topics in IT. How effectively you manage the quality, consistency, usability, security and availability of your organization's data will play a large part in how successful your business ultimately is. Data is the lifeblood of any business, and if the data isn't healthy ... well, you know the rest. The old sports aphorism applies: It's all about the fundamentals.Reasons to keep data in your own data center | Servers and Stora
Ummm, I pretty sure that is not what he was referring to.The bandwidth available to you at your house is only one piece of the equation.The real speed at which you can access and transfer data is also... Read Whole Comment + The real speed at which you can access and transfer data is also a matter of adding in all the other possible causes of bottle necking and delays between yourself and the source/repository of the data you wish to view or work with ... which are part of the path between yourself and that place. Add in the possible delays caused AT the site where that data actually resides.I admit, it was weird when my monthly MasterCard bill first arrived with a total charge of 99 cents for a single music download. I wasn't raised to use credit for such a small purchase. Am I allowed to have such a tiny transaction? Don't they discourage that kind of spending and can MasterCard afford to do that? Of course they can.
Data as Commerce
Introducing The MDM Market’s Newest 800lb Gorilla: Informatica A
Data Quality for Operational BI
Operational business intelligence shares many characteristics with traditional BI, but it also differs in many ways, the most dramatic of which is the timeliness of the data acquisition and integration process. Traditional BI can often rely on overnight or intraday batch processing for collecting and processing the data. To meet operational BI needs, the update cycles repeatedly require more frequent processing of the data and do not allow for a batch processing cycle.Technology: The data deluge | The Economist
The Merits of Controlled Redundancy
April 8, 2010 – The 2009 Oracle Applications Users Group ResearchLine Survey this week revealed 87 percent of respondents blame their performance issues on data growth. The study was sponsored by Informatica and produced by a Unisphere Research survey of more than 225 members of the OAUG. Some enterprise applications and databases increase in size by as much as 50 percent per year. Thirty-five percent of respondents reported they lack a grasp on how to manage the growing data volumes within their enterprise applications.

