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

LeadGenius

Over 80% of B2B data remains undiscovered or underutilized. LeadGenius is an Intelligent Data Service vendor that can uncover hard to find B2B data and personalize it to a specific business. LeadGenius sources vertical or international data at scale using a proprietary blend of technology automation and human experts. LeadGenius is backed by some of the most prominent investors in the Silicon Valley, including Sierra Ventures, Lumia Capital, Javelin Venture Partners and SJF Ventures.

OTHER WHITEPAPERS
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The Evolution of Clinical Data Management into Clinical Data Science

whitePaper | September 12, 2022

Clinical Data Management (CDM) evolved over the last two decades from managing data entered on paper Case Report Forms (CRFs) to managing data transcribed into Electronic Data Capture (EDC) systems. The Society for Clinical Data Management (SCDM) strongly contributed to this first significant CDM evolution through its Good Clinical Data Management Practice 1 (GCDMP©) Chapters first published in 2000 and its certification program for Clinical Data Managers2 subsequently released in 2004.

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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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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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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

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Data Governance Is Valuable Moving to an Offensive Strategy

whitePaper | October 20, 2022

Data governance defines how data should be gathered and used within an organization. Download this whitepaper to understand how it's linked to business success.

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Spotlight

LeadGenius

Over 80% of B2B data remains undiscovered or underutilized. LeadGenius is an Intelligent Data Service vendor that can uncover hard to find B2B data and personalize it to a specific business. LeadGenius sources vertical or international data at scale using a proprietary blend of technology automation and human experts. LeadGenius is backed by some of the most prominent investors in the Silicon Valley, including Sierra Ventures, Lumia Capital, Javelin Venture Partners and SJF Ventures.

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