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Win with Big Data and the IoT

IoT

By utilizing the Internet of Things (IoT) and analytics, companies are able to learn where there are inefficiencies and innovate their business to run smarter and leaner delivering new value to their customer base. Our friends over at Datameer just released a new infographic relating to Big Data and the IoT.

Deploying a Big Data Solution Using IBM Spectrum Scale

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A new research paper is now available that details the use of IBM Spectrum Scale – “Deploying a Big Data Solution Using IBM Spectrum Scale.” Learn how IBM Spectrum Scale can play an important role in your big data environment.

The Woes of CIOs

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It’s tough out there for CIOs. They’re getting it from all sides and from all directions. Our friends over at Lucidworks put together the compelling infographic below that explores this common story.

Software AG Identifies a Big Data Paralysis

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Software AG (Frankfurt TecDAX: SOW) announced the results of a global survey showing that while decision makers understand that greater visibility over internal processes and real-time data analysis could lead to operational improvements, they still lack the support and solutions needed to make it a reality.

Gartner Identifies Cool Vendors in Storage Technologies for 2015

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A new Gartner research report, “Cool Vendors in Storage Technologies,” details five emerging vendors that can assist organizations in meeting their storage modernization and cost containment initiatives. For example, Storiant is a multifaceted archiving platform that can support active, compliance and historical archives in a private cloud environment.

Big Data for Manufacturing Case Study: Omneo

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This article is the fifth and last in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

Adopting Big Data for Manufacturing

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This article is the fourth in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

Big Data Technology for Manufacturing

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This article is the third in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

GridGain Solutions for SaaS Enablement

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This article is the sixth and last in an editorial series with a goal to provide direction for SaaS company thought leaders on ways to achieve higher levels of scalability and performance through use of in-memory computing technology.

Common Big Data Pain Points for Manufacturers

insideBIGDATA_Guide_Mfg

This article is the second in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.