data platform

Results 601 - 625 of 769Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
Tags : 
ibm, mobile, mobile security, devices, platform to device
    
IBM
By: IBM     Published Date: Oct 21, 2016
By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications. Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.
Tags : 
ibm, cloud, mobility, enterprise, mobile applications, mobile application strategy
    
IBM
By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
Tags : 
cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
By: Cisco     Published Date: Jul 11, 2016
This document describes Cisco HyperFlex™ HX Data Platform Software, which revolutionizes data storage for hyperconverged infrastructure deployments. You’ll learn about the platform’s architecture and software-defined storage approach, and how you can use it to eliminate the storage silos that complicate your IT infrastructure.
Tags : 
    
Cisco
By: Cisco     Published Date: Jul 11, 2016
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
Tags : 
    
Cisco
By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
Tags : 
    
Cisco
By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Tags : 
data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
By: IBM     Published Date: Apr 20, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
Tags : 
data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
Tags : 
it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
By: IBM     Published Date: Jul 26, 2017
Ponemon Institute is pleased to present the results of Uncovering the Risks of SAP Cyber Breaches sponsored by Onapsis. The purpose of this study is to understand the threat of an SAP cyber breach and how companies are managing the risk of information theft, modification of data and disruption of business processes. The companies represented in this study say their SAP platform has been breached an average of two times in the past 24 months.
Tags : 
cyber breach, data security, information theft, security risk, risk management
    
IBM
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
This eBook introduces all the components of the Oracle Data Integration Platform including Cloud Big Data and Governance.
Tags : 
    
Oracle PaaS/IaaS/Hardware
By: Cornerstone OnDemand     Published Date: Jul 28, 2017
The modern recruiter has it far from easy. While the soft skills of recruiting are still relevant — good communication skills, outgoing personality, and keen intuition — the tech-driven world of work requires talent acquisition specialists to navigate a variety of tools, data analytics, and social media platforms. Recruiters can no longer just be great “people people”—they need to be great tech people, too.
Tags : 
recruitment, human resources, communication, data analytics, social media
    
Cornerstone OnDemand
By: SAS     Published Date: Jun 05, 2017
Data professionals now have the freedom to create, experiment, test and deploy different methods easily – using whatever skill set they have – all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organizations get faster results and better ROI from analytics efforts.
Tags : 
    
SAS
By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
    
SAS
By: SAS     Published Date: Aug 28, 2018
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
Tags : 
    
SAS
By: SAS     Published Date: Dec 20, 2018
Data professionals now have the freedom to create, experiment, test and deploy different methods easily using whatever skill set they have and all within one cohesive analytics platform. IT leaders gain the ability to centrally manage the entire analytics life cycle for both SAS and other assets with one environment. Organisations get faster results and better ROI from analytics efforts.
Tags : 
    
SAS
By: Cisco     Published Date: Nov 17, 2014
The desire to invest in antimalware software can be stated simply: avoid malware infection. Malware can create back doors into your network; puts your information, assets, and sensitive intellectual property in peril; and ultimately jeopardizes your business operations, resulting in unspecified collateral damage to your brand. This paper discusses Large-scale data mining technologies, Cloud computing platforms and Deep-seated knowledge of threats facing enterprises.
Tags : 
cloud-computing, malware, cisco, malware infection, amp
    
Cisco
By: IBM     Published Date: Sep 27, 2013
Using data from real customer deployments, Solitaire examines differentiators for network infrastructure deployments on either PowerLinux or Windows. PowerLinux clearly emerges as a preferred platform.
Tags : 
solitare group, powerlinux, infastructure, network infastructure deployments, reliability, throughput, resiliency
    
IBM
By: IBM     Published Date: Sep 27, 2013
With so much talk about big data and the possibilities it can offer, the truth behind what big data is—and what it can do for businesses—can be hard to determine. However, according to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk is not hard to see, provided that organizations are willing to return to the principles of good data management processes. According to Dr. Devlin’s white paper “The Big Data Zoo—Taming the Beasts”, data is still data, whether big or small. It needs to be managed effectively if organizations want to be gain value from it. Although big data may present special challenges for IT organizations, the principles of data management haven’t changed.
Tags : 
big data, data management, data warehousing, data analysis, platform integration
    
IBM
By: IBM     Published Date: Oct 01, 2013
Continual and timely upgrades of UNIX systems can enable growth and lower costs. But for some Sun/Oracle and HP customers, expected upgrade plans have hit major hurdles. Read this Clipper Group white paper to see how only IBM continues to provide a plan, and a predictable drumbeat, for the future. Read it now.
Tags : 
ibm, ibm power7, ibm power7 systems, data center, it infastructure, data center, enterprise applications, consolidation, virtualization, smart computing, platforms
    
IBM
By: IBM     Published Date: Jan 02, 2014
Buy-and-hold strategies can actually add costs to the datacenter, as systems age in place. Not only do hardware maintenance and software maintenance fees rise, over time – but the aging of applications also costs the organization money. Investing in a transition from POWER5 to POWER7 resulted in a return on investment (ROI) of more than 150 percent over three years.An insightful and and compelling discussion by IDC that reviews the primary reason for maintaining current systems -- Return on Investment. IDC studied IBM Power Systems sites that remained on the POWER5 platform long after its initial introduction in 2004. When comparisons to the succeeding generation of POWER7 are made, customers have found that the increase in scalability and performance of POWER7 systems, combined with a reduction in server "footprint" size and overall electrical requirements, resulted in significant reductions in ongoing costs, or opex, per 100 end users supported.
Tags : 
ibm, idc, server transition, server alternatives, business value, operating costs, hardware platforms, server life cycles, hardware maintenance, software maintenance, application costs, modernization, business continuity, power5, power7, leveraging technology, it managers, it infrastructure, technology replacement cycle, data center
    
IBM
By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
Tags : 
ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities, big data usage, data warehouse, data center, business analytics, big data offerings, core business data, analytic data, puredata system, data virtualization, data integration, data types, data quality
    
IBM
By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
Tags : 
ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse
    
IBM
Start   Previous    17 18 19 20 21 22 23 24 25 26 27 28 29 30 31    Next    End
Search Research Gateway      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.