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Published By: Cisco EMEA     Published Date: Mar 14, 2018
What if defenders could see the future? If they knew an attack was coming, they could stop it, or at least mitigate its impact and help ensure what they need to protect most is safe. The fact is, defenders can see what’s on the horizon. Many clues are out there—and obvious. For years, Cisco has been warning defenders about escalating cybercriminal activity around the globe. In this, our latest annual cybersecurity report, we present data and analysis from Cisco threat researchers and several of our technology partners about attacker behavior observed over the past 12 to 18 months.
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Cisco EMEA
Published By: Splunk     Published Date: Nov 29, 2018
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017 Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017 Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartner’s report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table “Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software.” As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics. Download this report to learn: 2017 rankings of performance analysis software vendors, overall and subsegments How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains Shifts in
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Ounce Labs, an IBM Company     Published Date: Dec 15, 2009
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
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ounce labs, it securitym it risk, software applications, pci dss, hipaa, glba, data security, source code vulnerabilities, source code analysis, it security, cryptography, security management, security policies
    
Ounce Labs, an IBM Company
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, security management, security policies, application integration, business intelligence, data integration
    
Ounce Labs, an IBM Company
Published By: Amazon Web Services     Published Date: Nov 08, 2018
In this webinar, you will learn how Allergan used Druva and AWS during the acquisition of ZELTIQ Aesthetics. You will hear how Allergan protected against accidental and purposeful data loss, and how backup data can be used for eDiscovery and forensic analysis.
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Amazon Web Services
Published By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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SAP
Published By: Cisco EMEA     Published Date: Mar 05, 2018
The operation of your organization depends, at least in part, on its data. You can avoid fines and remediation costs, protect your organization’s reputation and employee morale, and maintain business continuity by building a capability to detect and respond to incidents effectively. The simplicity of the incident response process can be misleading. We recommend tabletop exercises as an important step in pressure-testing your program.
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human resources, cisco, employees, data, analysis
    
Cisco EMEA
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: HP Enterprise Business     Published Date: Mar 02, 2017
Powered by data from 451 Research, the Right Mix web application benchmarks your current private vs public cloud mix, business drivers, and workload deployment venues against industry peers to create a comparative analysis. See how your mix stacks up, then download the 451 Research report for robust insights into the state of the hybrid IT market.
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HP Enterprise Business
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, networking, it management, knowledge management, data management
    
Pentaho
Published By: Cisco     Published Date: Jun 21, 2016
The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.
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Cisco
Published By: Adobe     Published Date: Nov 09, 2017
Patients are going digital — and taking the healthcare system with them. Learn how in the 2017 Digital Trends in Healthcare and Pharma report. Download it now to learn: Why two-thirds of healthcare companies are investing in data analysis. How they’re building content marketing programs to boost patient knowledge. What they plan to do with virtual and augmented reality this year and beyond.
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Adobe
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 CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: IBM APAC     Published Date: Nov 22, 2017
Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.
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api, application, programming, interface, artificial intelligence, base, encoding, chrome, code page
    
IBM APAC
Published By: Delphix     Published Date: May 03, 2016
Data security is a top concern these days. In a world of privacy regulation, intellectual property theft, and cybercrime, ensuring data security and protecting sensitive enterprise data is crucial. Only a data masking solution can secure vital data and enable outsourcing, third-party analysis, and cloud deployments. But more often than not, masking projects fail. Some of the best data masking tools bottleneck processes and once masked, data is hard to move and manage across the application development lifecycle.
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Delphix
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn how the Dell Genomic Data Analysis Platform can accelerate discovery and insights through optimized infrastructure and support.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper for: • An overview of how manufacturing can benefit from the big data technology stack • A high-level view of common big data pain points for manufacturers • A detailed analysis of big data technology for manufacturers • A view as to how manufacturers are going about big data adoption • A proven case study with: Omneo
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Dell EMC
Published By: Dell     Published Date: Jan 26, 2015
Forrester presents the relevant endpoint security data from their most recent surveys, with special attention given to those trends affecting SMBs (firms with 20 to 999 employees) and enterprises (firms with 1,000+ employees), along with analysis that explains the data in the context of the overall security landscape. As organizations prepare for the 2015 budget cycle, security and risk (S&R) professionals should use this annual report to help benchmark their organization’s spending patterns against those of their peers — while keeping an eye on current trends affecting endpoint security — in order to strategize their endpoint security adoption decisions. Please download this Forrester Research report, offered compliments of Dell, for more information.
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dell, windows, endpoint security adoption, forrester, smbs, budget cycle, security
    
Dell
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
The explosion of Big Data represents an opportunity to leverage trending attitudes in the marketplace to better segment and target customers, and enhance products and promotions. Success requires establishing a common business rationale for harnessing social media and determining a maturity model for sentiment analysis to assess existing social media capabilities.
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collaborative consulting, big data, social media, customer sentiment, influence sentiment, govern sentiment, maturity model, generate revenue, media promotions, measurable influence, maturity level, data management, data center design and management, data center
    
Collaborative Consulting
Published By: SAS     Published Date: Jul 14, 2015
With sophisticated analytics, government leaders can pinpoint the underlying value in all their data. They can bring it together in a unified fashion and see connections across agencies to better serve citizens.
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anayltics, data analysis, management, knowledge pooling, data infrastructure
    
SAS
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management, data management
    
SAS
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