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Cambridge Semantics and MarkLogic Announce Strategic Alliance

By   /  September 25, 2015  /  Data Daily | Data News, Data Education, NoSQL News, NoSQL News, Articles, & Education, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

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by Angela Guess According to a new article out of the company, “Cambridge Semantics, the leading provider of smart data solutions driven by semantic web technology, announced an alliance with MarkLogic Corporation, the leading Enterprise NoSQL database platform company. The combination of technologies created by this alliance enables organizations to rapidly store, access, visualize and […]

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MarkLogic, RDF, and the Triple Store

By   /  August 26, 2015  /  Data Daily | Data News, Data Education, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

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by Angela Guess Writing for Datanami, Alex Woodie recently noted, “There’s a lot of ways companies are trying to store and analyze data today, but one of the most compelling involves graph analytics. MarkLogic, which supports a variant of the graph database known as a semantic triple store, hopes that a recent update puts this […]

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MarkLogic Enterprise NoSQL Database Smoothes Car Talk for Mitchell1

By   /  July 9, 2015  /  Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, NoSQL Articles, NoSQL News, Articles, & Education  /  9 Comments

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Mass production of the Ford Model T began in 1913, changing the nascent car industry forever. Suddenly, autos were more accessible to more consumers, with the middle class able to enjoy what was once a luxury for the rich. Whole industries and services grew up around the exciting new world of assembly-line car manufacturing, including […]

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NoSQL Market Gets Even Hotter as MarkLogic Raises $102M in New Funding

By   /  May 13, 2015  /  Data Daily | Data News, Data Education, NoSQL News, NoSQL News, Articles, & Education  /  No Comments

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by Angela Guess Alex Woodie recently wrote for Datanami, “Just a year ago, MarkLogic CEO Gary Bloom couldn’t get any respect in the Wild West shootout that is the NoSQL database market. But today, with $102 million in new financing and a valuation north of $1 billion for MarkLogic, Bloom has a little swagger to […]

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JPMorgan Turns to a NoSQL System to Consolidate Derivative Trade Systems

By   /  March 16, 2015  /  Data Daily | Data News, Data Education, NoSQL News, NoSQL News, Articles, & Education  /  No Comments

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by Angela Guess Writing for Computerworld UK, Matthew Finnegan recently stated, “JP Morgan has reduced the complexity of its derivative trade processing systems after swapping relational databases for a NoSQL system, allowing it to handle a wider variety of data and scale to meet growing demands. The US banking giant processes hundreds of thousands of […]

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What NoSQL Has to Offer

By   /  January 23, 2015  /  Data Daily | Data News, Data Education, NoSQL News, NoSQL News, Articles, & Education  /  No Comments

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by Angela Guess John Leonard of Computing.co.uk recently wrote, “There is no doubt that many more people are taking a long look at what NoSQL has to offer, both to manage traditional workloads and for new applications too. The near-monthly announcements of a new multi-million dollar funding round are testament to the fact that this […]

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MarkLogic Recognizes Smartlogic with Partner Excellence Award

By   /  December 9, 2014  /  Data Daily | Data News, Data Education, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

MarkLogic recognized Smartlogic with a Partner Excellence Award for Smartlogic’s ability to power MarkLogic’s native semantic and search capabilities.

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Better Cloud Storage is About Search, Not Big Data

By   /  November 13, 2014  /  Big Data News, Articles, & Education, Data Education, Smart Data News, Articles, & Education  /  No Comments

Mark Albertson of The Gospel Herald recently wrote, “Much of the conversation surrounding the cloud storage industry today is centered on managing the demands of big data.”

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