Data
Get flash to fully experience Pearltrees
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
Look out IBM, Oracle and SAP — you’re about to lose a bit of your dominance in the master data management (MDM) market to Informatica. On January 28, 2010, Informatica announced that it acquired Siperian for $130 million (representing the largest acquisition Informatica has made to date). Siperian is a multi-domain operational MDM vendor that Forrester named as a leader in our last Forrester Wave for Customer Hubs in Q3 of 2008 (see graphic). Source: August 2008 “The Forrester Wave™: Customer Hubs, Q3 2008” I first suggested the likelihood of this acquisition back in April 2008 in a blog post after Informatica acquired Identity Systems — the core identity resolution/match engine OEM’d by Siperian. I even more strongly reiterated this prediction in June 2009 when Informatica next acquired AddressDoctor , which is the core postal address verification solution used by Siperian.
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.
EIGHTEEN months ago, Li & Fung, a firm that manages supply chains for retailers, saw 100 gigabytes of information flow through its network each day. Now the amount has increased tenfold. During 2009, American drone aircraft flying over Iraq and Afghanistan sent back around 24 years’ worth of video footage. New models being deployed this year will produce ten times as many data streams as their predecessors, and those in 2011 will produce 30 times as many. Everywhere you look, the quantity of information in the world is soaring. According to one estimate, mankind created 150 exabytes (billion gigabytes) of data in 2005.
Technology: The data deluge | The Economist
Thus, the conceptual data model is pure; and yet for other equally valid reasons of ruggedness and reliability, there is a strong case for designed and inbuilt controlled redundancy. Another valid reason is operational efficiency. After having examined, reported on and recovered 250000 orphaned transactions in a failed database back in ’97, we had a serious rethink of the purity of no redundancy. Since then we have adopted an approach with limited controlled redundancy of which the following comprises 2 examples, each incorporated for a different reason. Generally, it has also been the accepted view that the conceptual data model is kept pure and thus, any redundancy is left to be introduced in the Schema.
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.
Call to Action: Deal With Data Growth