News

Compact Announces Support for QlikView, SAS and Apache Hive

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by Angela Guess Earlier this month, Compact Solutions announced “official support for lineage extraction from SAS programs, QlikView reports and Apache Hive queries in the MetaDex solution. With these new capabilities we are further expanding the list of technologies that can be covered to achieve true end-to-end data lineage across a heterogeneous environment. To learn more…

NaviSite Expands its NaviCloud® Vault Enterprise Replication and Storage Solution

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by Angela Guess A new article out of the company reports, “NaviSite, Inc., a Time Warner Cable Company and premier provider of enterprise-class hosting, managed applications, managed messaging and managed cloud services, announced a key addition to its suite of cloud storage and data replication solutions with the launch of its NaviCloud® Vault: Data Domain® solution. Enabling a secure,…

Ensuring Accuracy of Important Healthcare Data with Data Governance

New Ohio River Bridge

by Angela Guess Alison Diana of Information Week recently wrote, “For decades, the data OhioHealth staff collected resided in silos spread across its 10 hospitals and countless departments. Two years ago, the nonprofit healthcare organization began investing in data governance and an enterprise data warehouse to cleanse and safely store data so business users could access,…

Datawatch Delivers Visual Data Discovery to NoSQL Cloud DBaaS

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by Angela Guess A new article out of the company reports, “Datawatch Corporation, a leading provider of visual data discovery solutions, today announced it will integrate its software with Cloudant’s NoSQL database-as-a-service (DBaaS) to help Web and mobile software developers quickly build data visualizations into their applications. This announcement follows news of Cloudant’s acquisition by IBM, whose…

IBM Tackles Big Data Challenges with Open Server Innovation Model

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by Angela Guess According to a new article out of the company, “IBM [yesterday] debuted new Power Systems servers that allow data centers to manage staggering data requirements with unprecedented speed, all built on an open server platform.  In a move that sharply contrasts other chip and server manufacturers’ proprietary business models, IBM through the OpenPOWER Foundation, released detailed technical…

Where is Big Data in the Hype Cycle?

Technology Hype Cycles

by Angela Guess Mike Wheatley of Silicon Angle recently wrote that the Gartner hype cycle “kicks off with the ‘trigger’ phase, a stage of rabid excitement about a new technology that leads to huge public interest. This morphs into phase two, a ‘peak of inflated expectations’, before tumbling into a steep decline as people learn that…

Astera Keeps Businesses and Their Partners Connected in Real Time with Centerprise Rt

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by Angela Guess According to a new release out of the company, “Astera Software, a leading developer of enterprise solutions that conquer the complexities of data integration processes, today introduces its Centerprise Rt, a solution that combines the Centerprise data integration software platform with the capability for rapid development, deployment, and management of data services that…

Dell Boomi AtomSphere Takes Adaptive Approach to Application Integration

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by Angela Guess A new release out of the company reports, “Dell Software today announced the spring 2014 release of Dell Boomi AtomSphere® integration platform as a service (iPaaS) featuring an adaptive approach to application integration designed to accelerate customer time to value. Leveraging AtomSphere’s unique single-instance, multi-tenant architecture to gain deep insight into customer usage metrics, the…

5 Ways to Make Customers Happy with Big Data

Mission 172: "This morning, draw small, happy faces on all your fingers, and a big smiley face on your tummy."

by Angela Guess IDA Singapore recently wrote in Venture Beat, “Here are five ways companies are using big data to treat customers more like individuals — and build better long-term relationships so those customers happily buy more and more. 1. Predict exactly what customers want before they ask for it. Remember when that shopkeeper had your…