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Articles

A Closer Look at Neo4j – the Graph Database

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April 9, 2013
A Closer Look at Neo4j – the Graph Database

by Paul Williams The recent upward tick in the popularity of graph databases within the NoSQL movement reflects the trend of Big Data, partly generated by social data. Enterprises are turning to graph databases to figure out customer purchasing patterns, voting history, as well as that proverbial “needle in the haystack” bit of valuable...
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Properly Managing Data Value Change

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March 28, 2013
Properly Managing Data Value Change

by Michael Brackett Data value change¹ is a major concern for public and private sector organizations.  It is constant and persistent.  At one extreme data value change can be completely ignored.  At the other extreme every data value change is documented.  Each organization must decide the extent to which their data value changes are documented....
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Data Science Programs on the Increase at Universities

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March 21, 2013
Data Science Programs on the Increase at Universities

by Paul Williams The practice of Data Science is growing in importance; it is driven by the continuing increase in the volume and velocity of data, and the need for data scientists at the enterprise is being forced to keep up. Big Data needs to be properly managed and interpreted to provide value to...
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The SSD Datacenter

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March 12, 2013
The SSD Datacenter

by Ezekiel James In a recent article on Ars Technica, Lee Hutchinson unpacks the SSD (solid-state drive) revolution in a rich and meaningful way. In a trip down memory lane he compares the world of flash storage to the world of 3D gaming, when GPUs merged the gamer with the game. His argument goes...
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2013 and the Rise of Big Data

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March 7, 2013
2013 and the Rise of Big Data

by Matt Asay Big Data is about to get real. For years we’ve heard about the promise of putting data to work, gleaning “actionable insights” from mountains of data. But for most enterprises, most of the time, this translated into media hype, not business value. Recently, however, I had the chance to sit down...
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The Apache Software Foundation and its Influence on Data Management

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March 5, 2013
The Apache Software Foundation and its Influence on Data Management

by Paul Williams The open source Apache Software Foundation holds a wide-ranging influence in the world of software development, based on fostering the development of a host of products now commonplace in the data management industry, both in the NoSQL and relational spaces. The foundation grew out of the work on the Apache HTTP...
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An Overview of Virtuoso Universal Server

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February 28, 2013
An Overview of Virtuoso Universal Server

by Paul Williams When doing the research for DATAVERSITY’s™ series on the NoSQL movement, one of the many products that stood out, spanning most of the sometimes overlapping sub-categories underneath that nouveau database banner. Virtuoso Universal Server, developed by OpenLink Software, seems almost like a Swiss Army Knife of database platforms, encompassing a wide...
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Is Big Data A Meaningful Term?

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February 26, 2013
Is Big Data A Meaningful Term?

by Michael Brackett The term big data has become prominent in the last few years.  However, big data is nothing new.  It has been around for many years and will be around for years to come.  The problem is that the meaning of big data is quite unclear and it’s used in many different...
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2013 Trends in Master Data Management

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February 21, 2013
2013 Trends in Master Data Management

by Paul Williams  In 2013, Master Data Management continues to be a vital part of the overall Data Management world. Maintaining detailed master data records remains a particularly important aspect of any Data Governance practice, especially concerning regulatory compliance issues. Governance related considerations also need to be looked at when approaching the outsourcing of...
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2013 Trends in Metadata

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February 19, 2013
2013 Trends in Metadata

by Paul Williams Metadata is the vital lifeblood of any enterprise that engages in the practice of Data Management. In many cases, it serves as the glue tying together the sometimes disparate outlooks held by the business and technical parts of a business. Data Governance, Master Data Management, and Data Stewardship become nearly impossible...
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