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Credit Scoring and Back Trading/Testing

Guide to Big Data Finance - Thumbnail

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.

YARN Opens New Doors to Easier Programming tools for Hadoop 2.0

YARN Hadoop

Find out how YARN for Hadoop 2.0 has opened the door to new tools and applications that promise to allow more companies to reap the benefits of big data!

The Business Case for In-Memory Computing

insideBIGDATA_Guide_IMC

This article is the second 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.

Data Access and Exploratory Data Analysis

insideBIGDATA_Guide_PA

Enterprise data assets are what feed the predictive analytic process, and any tool must facilitate easy integration with all the different types data sources required to answer critical business questions. Robust predictive analytics needs to access analytical and relational databases, OLAP cubes, flat files, and enterprise applications.

Learning to Define – Software Defined Storage

software defined storage

Let’s start the conversation here: If you work with big data in the cloud or deal with structured and unstructured data for analytics, you need software defined storage.

Optimizing Life Sciences – Deploying IBM Platform Computing

high performance infrastructure

In your world – numbers and data can save lives. Minutes and seconds absolutely matter. Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research teams need high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses.

Big Data and Retail Banking

Guide to Big Data Finance - Thumbnail

This article is the second 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.

10 Ways IBM Platform Computing Saves You Money

data center cloud

IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.

insideBIGDATA Guide to In-Memory Computing

insideBIGDATA_Guide_IMC

In this new Guide to In-Memory Computing the goal is to 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.

Understanding Active Risk Management with High Performance Data

This webinar is focus on understanding active risk management with high performance data and grid management.