GridGain In-Memory Data Fabric

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This article is the fifth and last in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.

SAS Survey: Finding the Right Balance Between Personalization and Privacy

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A new survey from SAS, “Finding the Right Balance Between Personalization and Privacy,” finds a strong correlation between trust and willingness to share information on the part of the consumer. Trust in data security is by far the biggest factor when customers decide to provide information.

Big Data for Finance – Security and Regulatory Compliance Considerations

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This article is the fifth and last in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

The Current State of Hadoop – An Infographic

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For those trying to sort out the big data technology stack, in particular Apache Hadoop, here is a compelling new infographic “The Current State of Hadoop: A look at the rise of Hadoop in big data enterprise applications for 2014,” courtesy of Solix.

In-Memory Computing Performance Benchmark

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This article is the fourth in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance. In last week’s article, we set the stage for in-memory computing technology in terms of […]

Adopting Big Data for Finance

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This article is the fourth in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.

New Survey from GE and Accenture Finds Growing Urgency for Big Data Analytics

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A new global study, “Industrial Internet Insights for 2015,” from GE (NYSE: GE) and Accenture (NYSE:ACN) reveals there is a growing urgency for organizations to embrace big data analytics to advance their Industrial Internet strategy.

Types of In-Memory Computing

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In this installment we’ll set the stage for in-memory computing technology in terms of its current state as well as its next stage of evolution. We’ll begin with a discussion of the capabilities of in-memory databases (IMDBs) and in-memory data grids (IMDGs), and show how they differ. We’ll finish up the section by demonstrating how neither one is sufficient for a company’s strategic move to IMC; instead, we will explain why a comprehensive in-memory data platform is needed.

Predictive Modeling and Production Deployment

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Using predictive analytics involves understanding and preparing the data, defining the predictive model, and following the predictive process. Predictive models can assume many shapes and sizes, depending on their complexity and the application for which they are designed. The first step is to understand what questions you are trying to answer for your organization.

Credit Scoring and Back Trading/Testing

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This article is the third in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.