data manager

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Published By: CDW     Published Date: Aug 04, 2016
With capacity demands growing constantly, storage environments must take advantage of both spinning-disk and flash technology. For decades, data center managers have faced a constant struggle to efficiently store and retrieve the massive amounts of information that their facilities collect, create and serve up to users. Being able to store and retrieve data quickly and cost-effectively is paramount to running a successful data center. But as the amounts of data that organizations store and retrieve grow at exponential rates, the challenges become thornier. Download this white paper to learn more!
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best practices, technology, data, data center, demands, storage, white paper
    
CDW
Published By: VMTurbo     Published Date: Jun 18, 2013
VMware vCloud Director has created tremendous potential for service providers and enterprises to deliver agile and cost effective Infrastructure-as-a-Service (IaaS) through its ability to automate the self-provisioning of virtual data center service offerings by customers. Since a multitude of commodity cloud providers have appeared seemingly overnight, service providers and enterprises must harness technologies like vCloud Director to reduce the overall cost of delivering compute services. With automated self-service provisioning in place, the next wave of opportunities for cost and performance optimization lies in operations management. This document details how VMTurbo Operations Manager delivers unique business value, addressing significant gaps in VMware vCloud offerings.
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compute service, vmware vcloud, director environments, reduce costs
    
VMTurbo
Published By: Storiant     Published Date: Apr 30, 2015
Emerging storage vendors offer data center managers and storage administrators new antidotes for their storage challenges. This research details five companies that provide innovative storage capabilities via new architecture and deployment methods, and looks back at two past Cool Vendors.
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storage technologies, it storage vendors, storiant, storage infrastructures, automated storage
    
Storiant
Published By: Equinix     Published Date: Mar 26, 2015
Enterprises grapple with a host of challenges that are spurring the creation of hybrid clouds: collections of computing infrastructure spread across multiple data centers and multiple cloud providers. This new concept often provokes uncertainty, which must be addressed head on. As more applications and computing resources move to the cloud, enterprises will become more dependent on cloud vendors, whether the issue is access, hosting, management, or any number of other services. Cloud consumers want to avoid vendor lock-in—having only one cloud provider. They want to know that they will have visibility into data and systems across multiple platforms and providers. They want to be able to move servers and storage around without a negative impact on application availability. The good news is that more solutions become available every day, but with a learning curve and numerous management challenges and considerations. This CITO Research paper provides advice for managers about how to c
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hybrid cloud, computing infrastructure, enterprises, storage, application availability
    
Equinix
Published By: CDW     Published Date: Jun 15, 2015
Start the transition to a modern data center. Contact your CDW account manager today.
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server, windows 2003, infrastructure, migrate, support
    
CDW
Published By: Google - SAP     Published Date: Jun 20, 2019
According to SiriusDecisions, 79% of companies miss their forecast by 10% or more. Pipeline management is often mismanaged and sales forecasting often off-base. Getting accurate and reliable information about the state of the deals in your pipeline is the key to a happy sales force. Accurate pipeline information also is the foundation of predictable and reliable sales forecasts. Wouldn’t a sales forecast that’s right all of the time be a boon to your organization? Download our new eBook “Pipeline Management and Forecasting are Key to Improving the Sales Experience” to find out how automated tools, AI, and clean data sets can help you as a sales manager to: ? Eliminate the mid-pipeline “black hole” and find out what’s really going on ? Use signals outside of your CRM to get scarily accurate deal opportunity scores and quarterly forecasts. ? Help align the customer journey with your sales process and get happy customers and happy sales reps
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Google - SAP
Published By: IBM     Published Date: Jan 06, 2016
In the age of big data and workforce analytics, statistics and metrics abound. In the face of an overabundance of numbers, knowing which metrics are most important can be a real challenge for Human Resource (HR) leaders and hiring managers.
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big data, workforce, statistics, metrics, ibm
    
IBM
Published By: AWS     Published Date: Jul 24, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: SnowFlake     Published Date: Jul 08, 2016
Jana provides free, unrestricted internet access to more than 30 million smartphone users in emerging markets. With their mCent Android app, Jana shifts the cost of mobile data to brands via sponsored content. When users engage with content in mCent, they earn free mobile data that can be used anywhere on the internet. Jana product managers use data to constantly analyze how well each of the features in mCent performs, to determine which features should be turned on for everyone, and which features should be turned off.
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snowflake, data, technology], mcent, best practices, mobile computing, smartphone
    
SnowFlake
Published By: Schneider Electric     Published Date: Aug 15, 2017
The reference guide lays out for data center managers a step-by step approach to data center consolidation. By breaking down the process into clear and identifiable actions – all of which are covered in the sections below – a data center consolidation becomes much more manageable, and the odds of its success much higher.
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assessment, strategical planning, design, commission, operation, additional resources, schneider electric
    
Schneider Electric
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: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: Symantec     Published Date: Apr 09, 2014
This IDC Executive Brief will discuss the evolution and challenges of data protection for virtual environments and how a modern data protection solution can enable both virtualization professionals and storage managers to perform successful backups, but more importantly guaranteed restores.
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symantec, unified data protection, data protection, virtualization security, virtual environment, backup, backup and recovery
    
Symantec
Published By: Schneider Electric     Published Date: May 09, 2016
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices. This white paper describes the types of PM services that can help safeguard the uptime of data centers and IT equipment rooms. Various PM methodologies and approaches are discussed. Recommended practices are suggested.
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schneider electric, edge computing, data center, energy efficiency, data center energy, preventive maintenance, tool for controlling, tco
    
Schneider Electric
Published By: Evergreen Systems, Inc.     Published Date: Dec 16, 2008
This comprehensive white paper applies automation and ITIL best practices to the data center and reviews current industry trends, server automation energy usage issues and a variety of optimization strategies for data center improvement.  The effects of virtualization are explored in-depth.  Includes detailed sections on increasing operational efficiency using workflow analysis, automating and optimizing server change management, reducing infrastructure complexity and developing security, disaster recovery and business continuity procedures.  Step by step instructions for developing metrics and a business case to justify data center and server automation are included.
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evergreen system, data center automation, data center automation manager, network automation, server automation, server virtualization, itil, data center optimization, roi, server management, data storage, server storage
    
Evergreen Systems, Inc.
Published By: Iovation     Published Date: Oct 21, 2009
With device reputation, WagerWorks gained valuable insight into the account activity on its sites, and as a result achieved greater control over fraud and abuse. By easily identifying account-device relationships and providing data for in-depth forensic analysis, iovation ReputationManager proved to be the most important addition to the company's overall fraud prevention process
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wagerworks, iovation, fraud prevention, security, identity management, compliance, online gaming abuse
    
Iovation
Published By: Taleo     Published Date: Mar 30, 2012
The report reveals the companies that best satisfy the demands of their leaders are those that place heightened importance on and provide greater visibility into workforce data, delivered in a way that empowers managers to make more informed, rapid business decisions.
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employee wellness, corporate wellness, human capital management, wellness strategy, employee engagement, human resources, human resource management, talent management
    
Taleo
Published By: Eaton     Published Date: Jan 26, 2016
When working with data center and commercial facility electrical systems, shocks of 100mA to more than 2,000mA are possible—definitely in the realm of serious harm to humans and property. Energized electrical equipment also presents the risk of arc flash caused by electrical faults that produce powerful explosions. When dealing with commercial and industrial electrical systems, such as uninterruptible power systems (UPSs) and their batteries, data center and facilities managers need to be aware of these risks, especially since some repair and maintenance procedures require working with a unit that is still energized. There are ways to minimize the risks to employees, equipment and the field technician performing the service. This paper answers some common questions about UPS maintenance, how to reduce the risks associated with servicing UPSs and batteries, and how to qualify a UPS service provider.
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eaton, ups safety, data center, arc flash, energized electrical equipment, facility managers, ups maintenance
    
Eaton
Published By: Eaton     Published Date: Jan 26, 2016
When designing a power protection scheme for their data center, IT and facilities managers must ask themselves whether a distributed or centralized backup strategy makes more sense. Unfortunately, there is no easy answer to that question. Companies must weigh each architecture’s advantages and disadvantages against their financial constraints, availability needs and management capabilities before deciding which one to employ. This white paper will simplify the decision-making process and lessen the potential weaknesses of whichever strategy you ultimately select.
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eaton, distributed backup strategy, centralized backup strategy, facility managers, data center solutions
    
Eaton
Published By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
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analytics, ibm, operational decision manager, operations, brand, data, big data, trends
    
IBM
Published By: IBM     Published Date: Apr 21, 2016
"Reshaping trading partner communities with growth, agility and scalability View this ebook to learn how leading organizations are managing, deploying, designing or planning cloud-based B2B integration alternatives to future-proof their B2B trading operations. Discover the benefits that clients of IBM B2B Cloud Services cite, including: - Reduced risk and total cost of ownership (TCO) in B2B integration - Enhanced visibility and control over business processes shared with partners - Faster partner onboarding and faster, more reliable data exchange - Greater collaboration across IT, business managers and external partners"
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ibm, b2b, cloud, b2b integration
    
IBM
Published By: IBM     Published Date: Oct 11, 2016
View this ebook to learn how leading organizations are managing, deploying, designing or planning cloud-based B2B integration alternatives to future-proof their B2B trading operations. Discover the benefits that clients of IBM Sterling B2B Cloud Services cite, including: -Reduced risk and total cost of ownership (TCO) in B2B integration - Enhanced visibility and control over business processes shared with partners - Faster partner onboarding and faster, more reliable data exchange - Greater collaboration across IT, business managers and external partners
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ibm, commerce, b2b, b2b integration, cloud, advantage cloud
    
IBM
Published By: Hewlett-Packard     Published Date: Aug 02, 2013
Every data center IT manager must constantly deal with certain practical constraints such as time, complexity, reliability, maintainability, space, compatibility, and money. The challenge is that business application demands on computing technology often don’t cooperate with these constraints. A day is lost due to a software incompatibility introduced during an upgrade, hours are lost tracing cables to see where they go, money is spent replacing an unexpected hardware failure, and so on. Day in and day out, these sorts of interruptions burden data center productivity. Sometimes, it’s possible to temporarily improve the situation by upgrading to newer technology. Faster network bandwidth and storage media can reduce the time it takes to make backups. Faster processors — with multiple cores and larger memory address space — make it possible to practically manage virtual machines.
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bladesystem, blade, infrastructure, blade infrastructure
    
Hewlett-Packard
Published 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.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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data, enterprise resource planning, customer relationship management, business intelligence, data management systems
    
IBM
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