big data

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Published By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
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unified data architecture, big data, analytics
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
This paper takes a look at the hard truths and common misconceptions surrounding big data. In particular, it focuses on five common myths about large-scale analytics, athen offers a glimpse at the next steps necessary to make big data work for you.
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big data, big data analytics, data driven marketing
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
Download this paper to learn how Unified Data Architecture™ can bridge the gap between the business language of SQL, the extreme processing power of MapReduce, and the big data residing in Hadoop to provide a unified, high-performance big data analytics system for the enterprise.
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data, big data, unified data architecture
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
This whitepaper details how BCBSNC leverages its Teradata environment to achieve key strategic goals.
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big data, analytics, healthcare
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
Health plans and insurers know that to thrive over the next 3-5 years, they must dramatically improve their ability to engage with individual consumers. The combination of Teradata products; an integrated data warehouse, Aster big data analytics and Aprimo integrated communication management, creates actionable analytic capabilities unparalleled in its ability to help companies achieve these goals. this white paper details how health plans and insurers can use Teradata to succeed in today’s healthcare environment.
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healthcare, data, insights, health plans, integrated data
    
Teradata
Published By: Oracle     Published Date: Sep 21, 2016
This digibook contains a step-by-step guide to overcoming the new challenges of raised expectations, big data, and globalization, with case studies and examples of how smart CFOs are redefining reporting.
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Oracle
Published By: Oracle     Published Date: Sep 21, 2016
This white paper shows how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age.
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Oracle
Published By: RSA Security     Published Date: Oct 24, 2013
Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
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rsa, emc, enterprise strategy, big data, security, security analytics
    
RSA Security
Published By: RSA Security     Published Date: Oct 24, 2013
Starting with a foundational set of data management and analytic capabilities enables organizations to effectively build and scale security management as the enterprise evolves to meet Big Data challenges.
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rsa, emc, big data, security, security analytics, scale, security management
    
RSA Security
Published By: RSA Security     Published Date: Jan 07, 2014
Watch this on-demand webcast to learn how you can accelerate your security transformation from traditional SIEM to a unified platform for incident detection, investigation and advanced security analysis. Understand why organizations are moving to a true big data security platform where compliance is a byproduct of security, not the other way around.
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security analytics, siem, advanced threats, best practices, security visibility, log collection, security
    
RSA Security
Published By: Red Hat     Published Date: Sep 25, 2014
Today’s mega IT trends – cloud computing, big data, mobile and social media –have dramatically altered how enterprises work, requiring datacenters to find new, more flexible and cost effective ways to meet computing demands. For most datacenters, the path toward tomorrow's compute paradigm mandates an investment in standardization and consolidation as well as a more robust adoption of enterprise virtualization software, along with cloud system software to extend that virtualized infrastructure into a true private cloud environment. Linux has emerged as one of the key elements to a modernization program for a datacenter.
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datacenter, modernization, enterprise virtualization, infrastructure, private cloud enviornment, it management, data management, data center
    
Red Hat
Published By: HP     Published Date: Feb 02, 2015
Customers across all industries are transitioning to the 3rd Platform, where IT organizations are seeking to leverage mobile, social, cloud, and big data solutions to drive business value. At the same time, the pace at which the business operates is continually accelerating.
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HP
Published By: Mintigo     Published Date: Jan 21, 2016
In this dynamic session, we’ll hear from thought leaders from LinkedIn, SiriusDecisions and Mintigo on the best strategies for taking a data-driven approach to marketing. They will address key considerations and best practices to answer essential questions around: • How the explosion of big data and emerging predictive technologies is transforming the marketing discipline • Examples of marketers at leading companies are effectively utilizing big data & predictive analytics • Recommendations for preparing your marketing team to become a data-driven organization.
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Mintigo
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: MarkLogic     Published Date: Nov 08, 2016
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Download now to learn more.
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MarkLogic
Published By: Intel Security     Published Date: Oct 21, 2015
This white paper offers insights into how McAfee Server Security Suites tackles all of these challenges and provides better visibility across the entire enterprise data center.
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mcafee, intel, security, data, center, networking, data center, data security
    
Intel Security
Published By: Oracle EPM     Published Date: May 11, 2015
Which EPM priorities are at the top of the Finance agenda? What are the most compelling developments in big data, analytics, mobile technology, and cloud computing that motivate Finance leaders to undertake new technology initiatives?
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epm, finance, technology, cloud computing, big data
    
Oracle EPM
Published By: Oracle EPM     Published Date: May 11, 2015
No matter how you define it, cloud, social, mobile, and big data are changing the competitive dynamics of the global economy and creating significant value for companies that know how to create business models leveraging these technologies.
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finance, investment, big data, cloud computing
    
Oracle EPM
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. Download this white paper to find out how you can improve your data preparation for business analytics.
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. To perform data discovery and exploration, use analytics to define desired business outcomes, and derive insights to help attain those outcomes, users need good, relevant data. Executives, managers, and other professionals are reaching for self-service technologies so they can be less reliant on IT and move into advanced analytics formerly limited to data scientists and statisticians. However, the biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation.
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Enterprise architects and their peers need to read this report to navigate the vendor landscape of the important and emerging big data technology.
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Waterline Data & Research Partners
Published By: Teradata     Published Date: Jul 15, 2015
This paper examines the value of big data applications as a means to ensure pervasive availability of big data analytics in the organization.
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analytics, big data, applications, lob, data science, data visualization
    
Teradata
Published By: Teradata     Published Date: Aug 27, 2015
While your specific data throughput mileage may vary, this paper will share the factors that directly contribute to a Data Movement solution, the data storage ecosystem alternatives, and the pitfalls you may face when attempting to architect such a solution in your data warehouse environment.
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analytics, big data, applications, lob, data science, data storage, data visualization
    
Teradata
Published By: FICO     Published Date: Nov 30, 2016
Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.
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manufacturing optimizations, enterprise software, infrastructure, networking, it management, knowledge management, enterprise applications, data management
    
FICO
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