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data managing

Results 101 - 125 of 160Sort Results By: Published Date | Title | Company Name
Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Oracle     Published Date: Feb 21, 2018
Why should I move my database to the cloud? Have you considered how you will support • Growing demand for data delivery securely from anywhere? • Managing new data whilst maintaining old? • Rapidly scaling your infrastructure as your business needs? Oracle Database Cloud is the #1 data-management solution in the cloud to empower you to deliver more value at scale, faster.
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Oracle
Published By: Oracle     Published Date: Feb 16, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle
Published By: Oracle     Published Date: Jan 28, 2019
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure. Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
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Oracle
Published By: Oracle     Published Date: Oct 01, 2019
Ever wished you could identify talent that’s likely to leave, so you could act quickly and ensure it stays? By gleaning insights from data, you could know in advance what needs to be done to keep your star hires engaged. Our new video tutorial shows how managing data at scale and speed enables you to increase employee satisfaction, reduce turnover and control recruitment costs. Explore how you can keep hold of your talent in this new video tutorial.
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Oracle
Published By: Oracle     Published Date: Sep 25, 2019
Ever wished you could identify talent that’s likely to leave, so you could act quickly and ensure it stays? By gleaning insights from data, you could know in advance what needs to be done to keep your star hires engaged. Our new video tutorial shows how managing data at scale and speed enables you to increase employee satisfaction, reduce turnover and control recruitment costs. Explore how you can keep hold of your talent in this new video tutorial.
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Oracle
Published By: Oracle Corp.     Published Date: Oct 15, 2012
This whitepaper illuminates how the Oracle Database Appliance, based on Intel® Xeon® processors, overcomes the obstacles companies face in deploying and managing database services that support their mission-critical applications.
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database appliance, database deployment, database administration
    
Oracle Corp.
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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Oracle EMEA
Published By: Oracle OMC     Published Date: Nov 30, 2017
The face of retail – both online and instore – is rapidly evolving. In addition to margin pressures, resource constraints, and competitive challenges retailers face on an ongoing basis, many are struggling to keep up with the evolving demands of vocal consumers. As new channels and buying habits emerge and evolve, many retail marketers have struggled to keep up. Although many have adopted new technologies to address new channels and challenges, the rapid pace of technological change has created new challenges including: Data silos E-mail marketing overload Channel coordination and conflict These challenges, coupled with the rising cost of acquiring and managing customer data, are compounded by increasing scrutiny on marketing budgets and an expectation of being able to prove the value of every campaign in terms of increased revenues.
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Oracle OMC
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"Since a decade the market has seen an outburst of data. With Managing and Securing Data is Crucial. With 3.8 Billion mobile users and 24 Zetta bytes of data created, and 100% attacks that target username and password credentials, managing and securing data has become a crucial and the most critical aspect for almost every Business. Oracle’s SPARC M7 processor, with Oracle’s Software in Silicon technology, is the industry’s most advanced multi thread, multi-core processor with unique capabilities for information security. It sets the foundation for mission-critical cloud based server infrastructure with unprecedented levels of security, efficiency, and performance.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: Ounce Labs, an IBM Company     Published Date: Jul 08, 2009
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
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ounce labs, it securitym it risk, software applications, ciso, pci dss, hipaa, glba, data security, source code vulnerabilities, source code analysis, it security, cryptography
    
Ounce Labs, an IBM Company
Published By: Pega     Published Date: Aug 12, 2016
Digital transformation has fundamentally disrupted global manufacturing. It’s not just a single technological advancement; it’s a full range of emerging technologies that are revolutionizing the industry. Social, mobile, Big Data, analytics, cloud, and the Internet of Things are re-defining every organization’s operating models. Within the next decade, many manufacturers will find themselves managing operations that are virtually unrecognizable from the past century.
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pega, mobil, big data, analytics, cloud
    
Pega
Published By: Platform Computing     Published Date: Dec 11, 2008
Studies show that data centers are doubling their total power consumption every 5 years.  But have most data centers optimized their energy consumption with the current available solutions? Platform Computing knows there is room in data centers to reduce energy costs by 10-30%. This paper describes strategies for dynamically managing the energy consumption to achieve similar results.
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platform computing, high performance computing, power & cool servers, data centers, blade technology, system management, green strategies, power and cooling, data center design and management
    
Platform Computing
Published By: Privacera     Published Date: Oct 23, 2017
Trends indicate that every company should embrace big data and analytics – there’s clearly incredible opportunity for enterprises to derive value from data. But not all companies are clamoring to jump on board with building teams and defining initiatives. The reality is enterprises are analyzing only 0.5% of their data, according to recent study by MIT Technology Review. What’s holding these companies back? This paper will cover the categories of risk and some of the constraints at play, as well as five recommendations to managing and mitigating that risk.
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Privacera
Published By: ProofSpace     Published Date: Jul 31, 2007
This paper details the processes by which ProofMark tags electronic records with a self-validating cryptographic seal that acts as a "tamper indicator" based on a true and provable time-reference datum.  With this it is able to provide instantaneous and irrefutable proof of authenticity, no matter where the data resides or who has controlled it.
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proofspace, proofmark, proofspace, proofmark, signing key vulnerability, trustworthy time, authenticated time stamps, time existence of data, electronic postmark, asymmetric key cryptography, public key cryptography, time stamp, timestamp, time and data stamping, file authentication, x9.95, accredited standards committee x9, x9.95-compliant, transient key technology, timestamp
    
ProofSpace
Published By: ProofSpace     Published Date: Aug 07, 2007
This white paper presents a solution framework for Life Science Organizations that want to implement enterprise digital trust management to protect their electronic value chain.
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proofspace, proofmark, signing key vulnerability, trustworthy time, authenticated time stamps, time existence of data, electronic postmark, time stamp, timestamp, time and data stamping, file authentication, x9.95, timestamping, ediscovery, discovery, admissibility, email archiving, surety, authentidate, timecertain
    
ProofSpace
Published By: ProofSpace     Published Date: Aug 08, 2007
Digital signatures aren't enough. This paper posits that data integrity needs to be redefined within the context of a time-sensitive mechanism.
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proofspace, proofmark, signing key vulnerability, trustworthy time, authenticated time stamps, time existence of data, electronic postmark, time stamp, timestamp, time and data stamping, file authentication, x9.95, timestamping, ediscovery, discovery, admissibility, email archiving, surety, authentidate, timecertain
    
ProofSpace
Published By: ProofSpace     Published Date: Sep 10, 2007
Read this paper and learn the principles that are prerequisites to enforceable electronic agreements as required by existing legal standards and electronic signature legislation.  This paper will also specify sixteen measurement criteria that can be used as metrics to assess whether the architecture of an electronic transaction will meet the requirements of admissibility.
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proofspace, proofmark, signing key vulnerability, trustworthy time, authenticated time stamps, time existence of data, electronic postmark, asymmetric key cryptography, public key cryptography, time stamp, timestamp, time and data stamping, file authentication, x9.95, accredited standards committee x9, x9.95-compliant, transient key technology, electronic signatures, fda 21 cfr part 11, u.s. e-sign act
    
ProofSpace
Published By: Pure Storage     Published Date: Dec 05, 2018
Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.
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Pure Storage
Published By: Quocirca     Published Date: Sep 07, 2007
Mid-sized organizations have similar issues to large organizations when it comes to the storage and management of information and data, yet they often have limited capability to attract, retain and maintain the skills that large organizations will use in managing their data assets.  There is a strong need for more effective tools that will enable mid-sized organizations to manage their data assets and gain the greatest value from them.
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smb, smbs, storage, data management, information management, storage management, san, sans, storage area network, quocirca
    
Quocirca
Published By: Quocirca     Published Date: Jul 03, 2008
Small and medium sized organizations have similar issues to large companies when it comes to the processing and storage of information and data, yet often have little capability to attract, retain and maintain the skills for managing their data assets compared to large organizations.  Blade systems offer an effective way to address the specific challenges faced by smaller organizations in managing their IT assets, and allows then to gain greater value from them.
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storage, blade, blade systems, small business, smb, smbs, mid-sized business, quocirca, small business networks
    
Quocirca
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
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