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data support

Results 351 - 375 of 494Sort Results By: Published Date | Title | Company Name
Published By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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forrester, enterprise, data, technology, best practices, innovation, security
    
SnowFlake
Published By: OKTA     Published Date: Oct 23, 2017
Most organizations have a dirty little secret: they are relying on user and password-based authentication to protect sensitive internal applications. With 81% of data breaches involving weak or stolen credentials1, applications that use single-factor authentication are an easy target for attack. Unfortunately, updating internal cloud applications—as well as legacy and custom applications—to support multi-factor authentication can be an IT headache for many organizations. Okta and Palo Alto Networks have collaborated to make rolling out multi-factor authentication a snap. Join Daniel Lu, Product Marketing Manager at Okta and Kasey Cross, Sr. Product Marketing Manager at Palo Alto Networks, to learn: >The latest trends in credential-based attacks >Why every sensitive cloud application needs multi-factor authentication >How to enforce network-level multi-factor authentication without touching your apps using Palo Alto Networks and Okta
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OKTA
Published By: SAP     Published Date: Mar 24, 2011
As you prepare to embark on an ERP implementation or to upgrade an existing system, you have a lot to juggle and plan. You know the horror stories of "go-lives" going bad but you aren't sure how to avoid the pitfalls. This white paper discusses at length how Utopia's formal data migration methodology reduces the risks of large systems deployments by using a tried-and-tested framework for the entire migration process, from source data analysis through post-go-live support.
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data migration management, source data analysis, data integrity, erp implementation
    
SAP
Published By: Unitrends     Published Date: Aug 18, 2015
When it comes to data protection, what matters most? You want the freedom to choose the types of data, applications, and computing platforms you protect. You want to seal off that data from security threats. You need space to house that data—the right space now with room to grow. You want to support older solutions as you evolve your technology environment to modern strategies, at a pace that suits your business. And you need the ability to reach out for that data at a moment’s notice without overstressing your network. In short, you need it all.
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unitrends, backups, backup software consolidated backup, backup software enterprise, program backup software, network appliance backup, continuous backup software, backup software server, vps, virtual server, it management, data center
    
Unitrends
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: Qualys     Published Date: Jan 08, 2015
Health care organizations face a variety of security challenges—from the growing presence of online personal data to new methods of accessing and transferring medical information. Protecting sensitive data requires more vigilance than ever. Learn how your IT security peers are responding to threats from mobile and cloud technologies to address these open systems in this latest SANS survey:New Threats Drive Improved Practices: State of Cybersecurity in Health Care Organizations. Inside you’ll see all the results—revealing better awareness of risks with improved commitment of resources and support. Download now to learn more about how leading health care organizations: Assess information ecosystems — to understand gaps in infrastructure Establish data-centric security controls — focusing on information, not just infrastructure Manage identities — tying data controls closely with identity and access management Invest in incident response — documenting and maintaining a formal response p
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it security, information ecosystems, data-centric security, identity management, security
    
Qualys
Published By: Schneider Electric     Published Date: May 09, 2016
Internet use is trending towards bandwidth-intensive content and an increasing number of attached “things”. At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available.
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schneider electric, edge computing, data center, energy efficiency, data center energy, power and cooling, data center design and management
    
Schneider Electric
Published By: WebEx Communications     Published Date: Dec 14, 2007
The purpose of this document is to provide information on the data security features and functions available with WebEx Support Center Remote Support and inherent to the underlying WebEx communication infrastructure known as the WebEx MediaTone™ Network.
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online meetings, web conference, online collaboration, elearning, online classroom, web training, webinar, online demos, online presentations, interactive selling, desktop support, remote support, helpdesk, webex, remote access
    
WebEx Communications
Published By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS Inc.
Published By: SAS     Published Date: Mar 14, 2014
In this study, we identified many ways that IT is perceived to be a roadblock to a successful analytics strategy and a number of disconnects between how IT and lines of business view IT’s role.
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sas, data strategy, idc, productive collaboration, analytic's strategy, counterparts, support, data center
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
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sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics, potential classifications, data analyst, scorecard, reporting the scorecard, improve scorecard, business process
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
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sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics, data center
    
SAS
Published By: Microsoft Corporation     Published Date: Oct 19, 2010
Get a close look at Microsoft security measures for ensuring data protection and integrity, and learn how you can rest assured about the security and reliability of Microsoft Online Services with 24x7 IT professional support and a financially backed service level agreement (SLA) for 99.9 percent uptime.
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microsoft online services, security measure, data protection, business productivity, collaboration, it administration
    
Microsoft Corporation
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Aug 16, 2012
This report defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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Sponsored by HP and Intel® Xeon® processors
Published By: HP     Published Date: Jul 22, 2014
HP 3PAR StoreServ Storage arrays are rapidly being adopted into many IT data centers. With the adoption of the array comes the need to support a non-disruptive method (supported by OS) to import data from aging architectures to new HP 3PAR StoreServ arrays. There is an increasing demand to support the migration from non-HP standard storage arrays to HP 3PAR StoreServ arrays as part of the migrations. In the past, HP has supported migrations from HP 3PAR to HP 3PAR using HP 3PAR Peer Motion technology and EVA to HP 3PAR using HP 3PAR Online Import as part of the federated storage movement. HP is now announcing the ability to migrate data from EMC arrays to HP 3PAR StoreServ Storage.
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3par, online, storage, data, array, storeserv
    
HP
Published By: Eaton     Published Date: Jan 26, 2016
This white paper explains why many data centers are ill-equipped to support today’s most important new technologies; discusses why packaged power and cooling solutions can be a flawed way to upgrade existing facilities; and describes the core components of a data center upgrade strategy capable of enhancing efficiency and power density more completely and cost-effectively.
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eaton, modern data centers, data center solutions, virtualization, big data, converged infrastructures, it management, enterprise applications
    
Eaton
Published By: Group M_IBM Q2'19     Published Date: Jun 10, 2019
In the era of individual-centered economy, customers are demanding faster, more personalized services. To deliver these services, successful organizations realize the benefits of accurate and trusted master data. And in today's always on society, companies can no longer afford to allow downtime for maintenance and scheduled upgrades for these services and the supporting applications. With low latency capabilities in IBM InfoSphere Master Data Management designed to easily connect to applications in a zero-downtime environment, the highest demands for user interactions can now be realized. As a result, businesses can therefore take the next step in their digital transformation initiatives to truly drive personalized differentiated customer experiences to separate themselves in today's crowded marketplace. View this webinar to discover how IBM MDM puts these capabilities within easy reach. The webinar will: Reveal how these capabilities are being delivered on-premise and on t
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Group M_IBM Q2'19
Published By: Tripwire     Published Date: Jun 30, 2009
Since the adoption of SOX, much has been learned about IT compliance. Discover how to make SOX efforts more effective in "Sustaining Sox Compliance."
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tripwire, sustain, sox, compliance, practice, risk, control, data, security, system, administration, institution, automated, reduce, cost, effective, sustainability, governance, business, change
    
Tripwire
Published By: IBM     Published Date: Oct 10, 2013
We all know how major security incidents can affect a company’s data, networks and corporate brand. We also know that sophisticated attacks, designed to gain continuous access to critical information or to cause damage in critical infrastructure, are becoming more severe, more frequent and more costly. But what can you do about it? The IBM white paper “Responding to—and recovering from—sophisticated security attacks” details four proactive steps that you can—and should—take now to help keep your organization safe: prioritize your business objectives and set your risk tolerance; protect your organization with a proactive security plan; prepare your response to the inevitable sophisticated attack and promote and support a culture of security awareness. Read the white paper to learn how to help keep your organization safe from sophisticated security attacks and find out how IBM can help.
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security, data security, networks, branding, attacks, security, security breach, safeguarding, infastructure, risk, risk tolerance, security attacks, it management
    
IBM
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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mdm, big data, master data, data solutions
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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big data, mdm, client analytics, real-time analysis, it management
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data integration, infosphere, information server, partition, data profiling, data center
    
IBM
Published By: IBM     Published Date: Feb 29, 2016
This is the data sheet for Integrated Multivendor Support.
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ibm, integrated support, multivendor, storage, networking, hardware, support, roi
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere
    
IBM
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