Extending Analytical BI with a GPU Database

June 20, 2018

This white paper explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology. Some GPU databases offer extreme performance with fewer limits than traditional solutions. Ultimately, adopting GPUs and GPU databases to further your analytics capabilities and empowering your team will help you be more productive, and gain real insights into your biggest assets - your data.Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. The term ‘Big Data’ is becoming obsolete as we face data stores of massive new proportions.

Spotlight

NEOS GeoSolutions

NEOS helps governments, energy ministries and exploration teams in the natural resources industries make faster, more informed decisions about where to explore, lease and drill. NEOS has pioneered the approach of using Big Data predictive analytics techniques on all available geo-data and multi-physics measurements in the natural resource sector…

OTHER WHITEPAPERS
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Ventana Research Data Platforms Value Index 2023

whitePaper | January 18, 2023

Ventana Research performed this research and analysis independently. Our goals were to determine the Value Index for Data Platforms and to evaluate vendors and products in accordance with the Ventana Research methodology and blueprint. We charged no fees for this research and invited to participate all vendors that are delivering relevant data platform products and services. This report includes products generally available as of September 30, 2022.

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The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

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4 Powerful Reasons Why Your Organization Benefits With Data Sharing

whitePaper | October 18, 2022

We talk about striving to be data driven. But in doing so, we’ve skipped an important step. Today, we must first aspire to be data-sharing organizations. That means becoming businesses where data is easily and proactively shared with every relevant person. Otherwise, there will be no driving possible. We’ll be left in the dust, lacking the gas — the data — to fuel us ahead in the digital economy. Gartner® said, “According to the Sixth Annual Gartner Chief Data Officer Survey,1 respondents who successfully increased data sharing led D&A teams that were 1.7 times more effective at showing demonstrable, verifiable value to D&A stakeholders.”

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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

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IT@Intel: Accelerated Analytics Drives Breakthroughs in Factory Equipment Availability

whitePaper | September 23, 2022

For Intel’s complex factory environments, quickly identifying tools that are operating below their optimal capacity and finding the root cause is crucial for maximizing production output. With thousands of tools involved in production and each manufacturing tool running from one to 50 operations, there are tens of thousands of tools and operations to monitor, analyze and adjust. Knowing where to focus engineering efforts is a monumental challenge.

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Spotlight

NEOS GeoSolutions

NEOS helps governments, energy ministries and exploration teams in the natural resources industries make faster, more informed decisions about where to explore, lease and drill. NEOS has pioneered the approach of using Big Data predictive analytics techniques on all available geo-data and multi-physics measurements in the natural resource sector…

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