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A collection of big data white papers reviewed by the editors of insideBIGDATA. Please visit the insideBIGDATA White Paper Library for a comprehensive list of white papers focus on big data strategies.

Bridging the MapReduce Skills Gap

Mapreduce skills gap

Data is exploring at large organization. So is the adoption of Hadoop. Hadoop’s potential cost effectiveness and facility for accepting unstructured data is making it central to modern, “Big Data” architectures. Yet, a significant obstacle to Hadoop adoption has been a shortage of skilled MapReduce coders.

GridGain In-Memory Data Fabric

insideBIGDATA_Guide_IMC

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.

Big Data for Finance – Security and Regulatory Compliance Considerations

Guide to Big Data Finance - Thumbnail

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.

In-Memory Computing Performance Benchmark

insideBIGDATA_Guide_IMC

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

Guide to Big Data Finance - Thumbnail

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.

Types of In-Memory Computing

insideBIGDATA_Guide_IMC

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.

Lustre 101

lustre logo

This week’s lustre 101 article looks at the history of lustre and the typical configuration of this high-performance scalable storage solution for big data applications.

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.