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by Michael Brackett As the calendar year comes to a close, a new one begins, and the fear of a December 21, 2012, catastrophe fades away, the meaning of a year comes to mind. Data resource managers deal with a wide variety of different years, and those different years need to be formally named...
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by Paul Williams As 2012 transitions into 2013, the multifaceted world of NoSQL continues to expand. Current platforms and databases gain market share and renown, while new products emerge, staking out their place in this constantly changing environment. Those interested in a primer on all things making up the world of “not only” relational...
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by Jelani Harper There was plenty to sample, see, and soak up at the Data Governance Winter 2012 Conference. It was a series of panels and discussions among approximately 200 data-driven professionals from across the country held on December 3-5. Conference producers DebTech International and DATAVERSITY™ had the prescience to host the event at...
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by Jelani Harper Business intelligence (BI) is crucial for the effective management and employment of data. It emerged in the latter part of the 20th century and has become an integral aspect of the decision making processes for prudent companies looking to make use of a host of data relating to customer service, inventory,...
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by Paul Williams Given the importance of Data Modeling to the data industry over the last 50 years, it stands to reason that over time a collection of modeling frameworks and languages have garnered recognition. Of course, Peter Chen’s seminal work, inspired by Charles Bachman and others, stands at the center of the industry....
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by Paul Williams As the environments used to manage information become more complex, the data itself begins to lose its overall business value. It gets increasingly difficult to wean valuable knowledge out of a tangled mass of databases, web sites, document repositories, and so on. A layer of abstraction providing a common view of...
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by Michael Brackett Most public and private sector organizations have a serious plague known as data resource disparity. Their data resource is disparate, that disparity is getting worse, and it’s adversely impacting the business. Yet organizations continue staking their future on increasing quantities of disparate data. Disparate data are any data that are essentially...
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by Paul Williams Data analysis remains a vital part of the Data Management industry. Being able to actually see the data helps the human mind understand its underlying meaning. Data visualization tools provide this functionality in many forms – from the graphing tool inside Excel to the embedded visualizer in the Graph database, InfiniteGraph....
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by Paul Williams Just as the brand, Kleenex, became synonymous with bath tissue, such is the fate with NoSQL database subset known as Big Table databases. Google’s Bigtable, which defined the entire sector, serves the same role as Kleenex, since tabular databases are commonly called “Big Table” in the nascent NoSQL industry. This final...
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by Paul Williams This installment in DATAVERSITY’s NoSQL series covers Graph databases. Graph data stores are the NoSQL type suitable for finding relationships within massive amounts of data at the fastest possible speed. They see wide use in social networking applications as well as in high-end analytics. In Graph database architecture, the objects known...
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