RethinkDB Adds Automatics Failover to NoSQL Solution
by Angela Guess Chris Preimesberger reports for eWeek, “RethinkDB, a scalable NoSQL database that uses intelligence and automation to keep its data content up to date and available at all times, on Aug. 17 released a new version of its product that features automatic failover in case of a power failure or other unplanned outage. […]
Read More →Expanding Master Data Management with Big Data
by Jelani Harper Initially, Master Data Management (MDM) systems and the content they contain may seem counterintuitive or even diametrically opposed to Big Data systems. Some of the considerable differences between Master Data and Big Data include: Volume: Comparatively, Master Data sets are much smaller than those for Big Data. One of the pivotal attractions […]
Read More →MarkLogic Enterprise NoSQL Database Smoothes Car Talk for Mitchell1
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 […]
Read More →NoSQL Shapes Data Modeling
by Jelani Harper At an Enterprise Data World 2015 Conference session entitled ”NoSQL Influence to Enterprise Data Modeling,” eBay’s Senior Data Architect Donovan Hsieh addressed some of the differences between non-relational (NoSQL) and relational Data Modeling practices. Some of the more pronounced differences that he discussed include: Roles: In various organizations, Data Modeling for NoSQL […]
Read More →Bridging the Gap Between IT and Marketing by Embracing NoSQL
by Angela Guess Ian White, CTO of Sailthru, recently wrote in The Wise Marketer, “Today, both the CIO and the CMO share the same fundamental challenge – effective information management. Whether engineering a big data strategy or seeking a single customer view, the objective is the same: making sense of the rapid increase in information, […]
Read More →Data-Ed Slides: A Framework for Implementing NoSQL, Hadoop
Data-Ed Webinar: A Framework for Implementing NoSQL, Hadoop from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> This Webinar was Sponsored by: About the Webinar Big Data and NoSQL continue to make headlines everywhere. However, most of what has been written about these topics is focused on the hardware, services, […]
Read More →Which NoSQL Solution is Right For You?
by Angela Guess Craig S. Mullins recently wrote for SearchDataManagement, “Reviewing NoSQL database management system (DBMS) offerings is a more difficult task than comparing and contrasting relational DBMSes, as there’s more than one type of NoSQL database and a large number of individual NoSQL DBMSes. Part of the process of vetting a NoSQL DBMS is […]
Read More →NoSQL Market Gets Even Hotter as MarkLogic Raises $102M in New Funding
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 […]
Read More →Webinar: Top 10 Enterprise Use Cases for NoSQL
Top 10 Enterprise Use Cases for NoSQL from DATAVERSITY To view just the slides from this presentation, click HERE>> This Webinar was Sponsored by: About the Webinar The adoption of NoSQL databases by large enterprises for mission-critical applications is accelerating. It started with Internet-age companies like Google, Amazon, Facebook, and LinkedIn. Today, enterprises in virtually […]
Read More →Slides: Top 10 Enterprise Use Cases for NoSQL
Top 10 Enterprise Use Cases for NoSQL from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> This Webinar was Sponsored by: About the Webinar The adoption of NoSQL databases by large enterprises for mission-critical applications is accelerating. It started with Internet-age companies like Google, Amazon, Facebook, and LinkedIn. Today, enterprises in […]
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