managing data growth

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Published By: HPE     Published Date: Dec 05, 2014
Data is the lifeblood of your business. To compete in today’s global information economy, you need to keep your IT systems up and running and provide consistent and reliable access to business-critical applications at all times. Application downtime or slow performance can mean diminished employee productivity, dissatisfied customers, and lost revenue. But keeping pace with change and managing growth can be a real challenge. Increasing numbers of applications, evolving technology, and rapid data growth are pushing older IT infrastructure to the limit—demanding more storage and bandwidth, greater security and agility, and higher availability than ever before.
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platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
Published By: HPE     Published Date: Dec 05, 2014
Data is the lifeblood of your business. To compete in today’s global information economy, you need to keep your IT systems up and running and provide consistent and reliable access to business-critical applications at all times. Application downtime or slow performance can mean diminished employee productivity, dissatisfied customers, and lost revenue. But keeping pace with change and managing growth can be a real challenge. Increasing numbers of applications, evolving technology, and rapid data growth are pushing older IT infrastructure to the limit—demanding more storage and bandwidth, greater security and agility, and higher availability than ever before.
Tags : 
platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
Published By: Dell EMC     Published Date: Feb 23, 2017
Desktop and application virtualization have steadily gained ground to address a broad range of use cases across organizations of all sizes. According to ESG research, over the past few years, desktop virtualization has consistently risen to be included among the five most commonly-identified IT priorities, alongside such perennial corporate objectives as fortifying cybersecurity and managing data growth.
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Dell EMC
Published By: Butler Technologies     Published Date: Jul 02, 2018
The Tenth Annual State of the Network Global Study focuses a lens on the network team’s role in security investigations. Results indicate that 88 percent of network teams are now spending time on security issues. In fact, out of 1,035 respondents, nearly 3 out of 4 spend up to 10 hours per week working exclusively on these types of problems - in addition to managing network upgrades, SDN, cloud, and big data initiatives. When it comes to technology adoption, both cloud and 100 GbE deployment continue to grow aggressively. VoIP adoption is closing in on 60 percent and software-defined networking (SDN) is projected to cross the halfway mark, indicating compounding network complexity amidst the ongoing struggle to ID security threats. With growth comes change and some trends identified in this year’s survey include a rise in email and browser-based malware attacks (63 percent) and an increase in sophistication (52 percent). Nearly 1 in 3 also report a surge in DDoS attacks, signaling a ne
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Butler Technologies
Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive
    
IBM
Published By: Dell EMC     Published Date: Aug 22, 2017
Data is the foundation of the digital economy, but managing data growth poses a big challenge as organizations ramp up cloud adoption. Whether your organization is adopting a hybrid cloud strategy or building modern apps in the cloud, there are many challenges that can limit your effectiveness. With Isilon CloudPools and ECS, you can take advantage of cloud capabilities without a disruptive time-consuming migration of your data. In this webinar, we’ll discuss how Dell EMC puts you in control with a flexible cloud design, allowing you to take an application-centric approach to your data platform.
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Dell EMC
Published By: Dell     Published Date: Jul 03, 2012
This White Paper focuses on some of the data storage techniques and strategies that growing business need to address to ensure they aren't suffering under the weight of their information storage and its costs.
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dell, pc world, data growth
    
Dell
Published By: PC World     Published Date: Jul 02, 2012
Data Storage Strategies and insights for growing businesses.
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data growth, dell, pc world, capacity expansion
    
PC World
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
Published By: NetApp     Published Date: Dec 15, 2014
IT managers and line-of-business stakeholders are striving to increase efficiency of their application environments. The biggest challenges they face in supporting database environments are managing data growth and database size, and meeting database performance requirements. This ESG Lab Report documents the performance, reliability, availability, and serviceability of NetApp EF Series flash arrays in Oracle database environments.
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it managers, application environments, data growth, serviceability, performance, storage
    
NetApp
Published By: IBM     Published Date: Aug 30, 2010
In this white paper we will discuss data breakage and access in more detail, and then briefly consider how IBM Optim works, particularly with respect to System z, though Optim's capabilities are also generally applicable to distributed systems.
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ibm optim, data growth, system z, data breakage, archiving
    
IBM
Published By: NetApp     Published Date: Dec 12, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection. Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults.
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netapp, lab validation, distibuted content repositor, big content scalability, enterprise reliability, intelligent object management, data center
    
NetApp
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
Tags : 
ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: Sybase     Published Date: May 10, 2012
This white paper, based on a survey of database professionals, examines the problems facing many large businesses that are attempting to remain agile while dealing with a mountain of data under management.
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adaptive server enterprise, sybase database management system, database management, database management software, database management and software, database management system, database management system software, database management program, database management programs, relational database management system, relational database management systems, data base manag, virtualization, infrastructure, design and facilities
    
Sybase
Published By: Cisco     Published Date: Sep 16, 2015
We’re experiencing a disruptive period of data transformation—and managing today’s database infrastructures during this disruptive period is not only critically important, but also more challenging than ever. An historic growth in data and cutting-edge technology trends, like the Internet of Everything, is causing an explosion in connections and data creation that is reshaping everything we do.
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enterprise, policy-based, infrastructure, cloud, visibility, scalability, network architecture, network management, server hardware, servers, data center design and management
    
Cisco
Published By: digitiliti     Published Date: Apr 02, 2007
The challenge of managing, protecting and storing digital data is a major issue for businesses of every size and category. Companies generally rank the improvement of their storage infrastructure as a top objective, and the escalation of data protection costs has become an overriding concern. According to recent research, the data storage capacity of the average North American enterprise is now 59 terabytes, and the projected annual production data growth is 20 to 30 percent.
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data storage, software, data security, data protection, enterprise software, storage, digitiliti, backup and recovery, data backup
    
digitiliti
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