data sets

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Published By: Oracle     Published Date: Oct 20, 2017
Virtually every business-oriented conversation Wikibon has with senior IT leaders includes a discussion of digital transformation. The relevance to this research is the increasing interdependency between organizations and the data they use, create, access, share and store. Digital means data and lots of it; and this data must be protected. The data requirements facing organizations today as a direct result of digital initiatives are unprecedented and require new approaches for protecting and enabling recovery for high value data assets. Governments around the world are trying to keep pace with the digital tsunami and new/evolving regulations will further pressure data protection and recovery requirements. For example, the EU’s General Data Protection Regulation (GDPR) states that organizations must take appropriate measures to ensure the ability to restore personal data “in a timely manner in the event of a physical or technical incident.” Beginning in May of 2018, penalties for non-co
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Oracle
Published By: Adobe     Published Date: Jul 10, 2019
Every organisation is at a different point in their progression with campaign management. Maybe you’ve had some success with email marketing and you want to expand your efforts across additional channels. Perhaps you invested in a campaign management solution several years ago when you had fewer marketing channels, simpler data sets and less sophisticated customers. It could be you’re a new marketing team, eager to set yourself up for success with an enterprise-class campaign management solution that meets all the requirements you know about—and even some you don’t.
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Adobe
Published By: StreamSets     Published Date: Sep 24, 2018
If you’ve ever built real-time data pipelines or streaming applications, you know how useful the Apache Kafka™ distributed streaming platform can be. Then again, you’ve also probably bumped up against the challenges of working with Kafka. If you’re new to Kafka, or ready to simplify your implementation, we present common challenges you may be facing and five ways that StreamSets can make your efforts much more efficient and reliable
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apache, kafka, steam, sets, data
    
StreamSets
Published By: VMware     Published Date: Jul 24, 2018
VMware vSAN is enterprise-class, vSphere-native storage that powers more hyper-converged infrastructure solutions than any other vendor. vSAN accelerates and simplifies the data center modernization journey by helping you evolve your infrastructure without risk, reduce TCO through simplified operations and server economics, and scale to tomorrow’s business needs with an agile, cloud-ready platform. As the only vSphere-native storage platform, vSAN naturally extends virtualization to storage, creating a hyperconverged solution that simply works with existing tools, skill sets, software solutions, and server platforms. The result is an agile IT environment ready for dynamic business needs.
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VMware
Published By: VMware     Published Date: Jul 24, 2018
VMware vSAN is enterprise-class, vSphere-native storage that powers more hyper-converged infrastructure solutions than any other vendor. vSAN accelerates and simplifies the data center modernization journey by helping you evolve your infrastructure without risk, reduce TCO through simplified operations and server economics, and scale to tomorrow’s business needs with an agile, cloud-ready platform. As the only vSphere-native storage platform, vSAN naturally extends virtualization to storage, creating a hyperconverged solution that simply works with existing tools, skill sets, software solutions, and server platforms. The result is an agile IT environment ready for dynamic business needs.
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VMware
Published By: F5 Networks Inc     Published Date: Apr 18, 2012
Cloud computing has become another key resource for IT deployments, but securing applications and data in the cloud remains a concern. Learn strategies for keeping your most precious assets safe, no matter where they reside.
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cloud computing, cloud security, protection data in the cloud, cloud data protection, cloud deployment, application protection in the cloud, authentication, aaa
    
F5 Networks Inc
Published By: ProfitBricks     Published Date: Apr 01, 2013
The value of conventional on-premises servers is eroding. As with all decay, it starts slowly and declines steadily. Bits and pieces of the physical server market are peeling off as businesses turn away from conventional data center and IT closet deployments in favor of cloud-based infrastructure-as-a-service (IaaS). And there’s no shortage of IaaS; hosting and service-provider companies are flooding the market with low-cost access to hosted servers. The challenge for adopting businesses is leveraging hosted assets that guarantee data security and integrity with fine-grained levels of adjustable capacity, high performance and price predictability.
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iaas, solution, cloud-based
    
ProfitBricks
Published By: Tripp Lite     Published Date: Jun 28, 2018
One of the fundamental decisions in the design of data centers, server rooms and network closets is which uninterruptible power supply (UPS) systems to use. You cannot be certain that the power you receive from your local utility will be suitable for your equipment, or that it will always be available. And even when you are receiving good-quality power from the utility, equipment inside your facility (such as electric motors) can introduce power problems. A network/server UPS system conditions input power 24x7 to ensure that your equipment always receives reliable power and protection from damaging and disruptive power problems. A network/server UPS system also supports your equipment during power failures, providing enough battery backup runtime to outlast shorter outages. During longer outages, the UPS system will provide enough runtime to save files and gracefully shut down systems or to ensure that equipment is powered until standby generators are ready to support the load. Choosi
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Tripp Lite
Published By: Adobe     Published Date: Mar 16, 2017
Meet the trends that are impacting your ability to create, manage, deliver and optimize your digital assets. The Adobe white paper, 7 Trends Impacting How We Use Digital Assets, identifies the trends that help you deliver more meaningful customer experiences with the right assets, through the right channels, at the right time. Read the Adobe white paper to learn: • How metadata can help increase brand consistency across multiple channels and devices • Why marketers need digital asset tools that increase responsiveness to consumers in real time • The importance of rich media in delivering personalized content that deepens customer connections
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digital assets. adobe, metadata, digital assets, channeling
    
Adobe
Published By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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AWS
Published By: HiQ Labs     Published Date: Apr 18, 2017
Experts predict the number of M&A transactions will increase in 2017, but the nature of M&A is changing. The old ways of collecting data are getting to be too slow, too expensive, and too subjective. The ideal M&A transaction relies on accurate, actionable scientific insights into the target’s workforce to support the investigation, due diligence and integration aspects of M&A. hiQ Labs applies scientific rigor to publicly available data sets to forecast which employees are at risk of leaving, map the target workforce’s skills onto the buyer’s company, and identify which employees have the skills critical to the deal’s success, so M&A leaders get a faster, cheaper, and accurate solution based on science.
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hiq labs, m&a, talent
    
HiQ Labs
Published By: CA Technologies EMEA     Published Date: May 23, 2018
Increasingly, enterprises are opening their data and applications to partners, developers, mobile apps and cloud services. APIs provide a standardized way to open up information assets across the web, mobile devices, serviceoriented architecture (SOA) and the cloud. However, to make API information sharing safe, reliable and cost-effective, enterprises must deal with critical security, performance management and data adaptation challenges. CA API Management combines advanced functionality for back-end integration, mobile optimization, cloud orchestration and developer management. It is unique in its ability to address the full breadth of enterprise API management challenges.
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CA Technologies EMEA
Published By: Motorola Solutions     Published Date: Nov 29, 2018
When it comes to worker safety, mitigating downtime, and boosting productivity, nothing is faster than right NOW. Organizations across various industry segments — construction, food and beverage, chemical and industrial, and transportation equipment manufacturers — are juggling a mix of communication devices, slowing response times. Gaps in coverage, poor battery life and aging equipment reduce your ability to safely and efficiently meet production deadlines. The power of NOW puts instant communications at your workers’ fingertips — because when communication slows, production slows. Manufacturers today are under immense pressure to produce goods safely, efficiently and profitably. Meeting these goals requires reliable, clear voice and data communications. So the production line is always moving. So well-executed logistics exceed expectations. So materials and operations are tracked to maintain efficiency. So your most valuable assets — your people — are safe and connected. Unified tea
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Motorola Solutions
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: ParAccel     Published Date: Dec 16, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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Amazon Web Services
Published By: HP Data Center     Published Date: Mar 25, 2009
When considering server virtualization, planning and design are critical.  How do you optimize your environment through virtualization?  How do you keep your server sprawl from becoming virtual server sprawl?  How will a virtualized environment help your business?  Will your existing data center meet current, and future, business requirements? Answer your Questions today!
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hp data center, virtualization, server planning, server design, server sprawl, tco, roi, server consolidation
    
HP Data Center
Published By: ParAccel     Published Date: Nov 15, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
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paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: Quest Software     Published Date: Jul 28, 2011
In this white paper Quest's data protection experts offer five tips for effective backup and recovery to help you avoid the challenges that might keep you from fully protecting your virtual assets and infrastructure.
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quest, storage virtualization, it management, systems management solutions, virtualization managemen, windows, database, application
    
Quest Software
Published By: ForeScout     Published Date: Aug 14, 2012
Business wants more fluid access to data while IT organizations must maintain security. As the variety of access and multitude of threats to network resources and sensitive information have grown, so has the need for more flexible and automated ways to effectuate security policies, controls and enforcement. Rarely is this need more keenly felt than at the network endpoint, where people, technology, information assets and requirements for security and compliance meet most directly.
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pragmatic, path, achieving nac results, essential implementation, process, control, consideration, data
    
ForeScout
Published By: McAfee     Published Date: Feb 06, 2013
Gartner defines "big data analytics" as the practices and technology used to pursue emerging and divergent pattern detection as well as enhance the use of previously disconnected information assets.
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big data analytics, gartner, big data, big security data, advanced targeted attacks, advanced persistent threats, atas, context aware security intelligence
    
McAfee
Published By: McAfee     Published Date: Mar 08, 2013
Databases store companies’ most valuable information assets, but in most cases they’re poorly protected. It’s important to secure databases as well as or better than other systems in the enterprise. But it’s not that simple.
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real-time database monitoring, database authentication, database access control, database activity monitoring, database intrusion prevention, authentication and access control, database security
    
McAfee
Published By: QTS Data Centers     Published Date: Mar 31, 2015
One of IT’s biggest balancing acts is to make data transactions easily available to authorized users while preventing all others from accessing its data assets. With high-profile data security breaches splashed across headlines nearly every day, CIOs are understandably worried about protecting their data. And for IT leaders who are considering moving their business to the cloud it is critical to ensure the provider they select has undertaken full and robust measures for physical and logical security.
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qts, cloud, security, data transactions, cio report, cyber threats, security breaches, it leaders
    
QTS Data Centers
Published By: Adobe     Published Date: Jun 26, 2019
Customers expect to have the same experience with a store no matter where they are shopping – in a brick and mortar location, on the store’s website via laptop or on the store’s app via mobile device. Combining online and offline data helps retailers stay informed about their customers so they can drive customer loyalty and increase revenue.
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Adobe
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
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