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data storage systems

Results 1 - 25 of 74Sort Results By: Published Date | Title | Company Name
Published By: HP     Published Date: Aug 21, 2014
This video (3:58 min) shows the typical journey that your data might take from its creation to its retirement. HP Experts discuss how various storage solutions are used to best handle, protect and retain that data regardless of how and where it is being used.
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data, storage solutions, storeonce, deduplication, storage, it benefits, backup systems, challenges
    
HP
Published By: InMage     Published Date: Feb 24, 2009
This paper describes a series of tests run to determine the viability of continuous data protection (CDP) using InMage DR Scout along with Agami Systems AIS 3000 series of unified storage systems.
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inmage, dr scout, accenture, cdp, continuous data protection, agami systems ais 3000, backup, data management
    
InMage
Published By: IBM     Published Date: Nov 04, 2014
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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cloud computing, it efficiency, cloud storage, data protection, it management
    
IBM
Published By: IBM     Published Date: Jan 23, 2015
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Watch this webinar to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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storage environment, cloud storage, it efficiency, cloud agility, data-driven analytics, it management, enterprise applications
    
IBM
Published By: Intel Corp.     Published Date: Aug 08, 2012
This report covers the challenges of first generation deduplication technology and the advantages of next-gen deduplication products. Next generation Dedupe 2.0 systems use a common deduplication algorithm across all storage systems-whether they're smaller systems in branch offices or large data center storage facilities. That means no more reconstituting data as it traverses different storage systems, which saves bandwidth and improves performance.
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advances, deduplication, help, tame, big, data, chanllenges, first
    
Intel Corp.
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: AWS     Published Date: Nov 02, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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AWS
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: NetApp     Published Date: Sep 24, 2013
"The performance, availability, and data protection associated with tier-1 applications were easy to meet when one application mapped to one server and a dedicated storage system. But to carry these features into a virtual world with pooled, shared storage systems and unpredictable workloads creates new demands. In order to reach an agile state in your business, access this white paper now to gain insight into innovative solutions catered to these new challenging demands."
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performance, availability, data protection, storage systems, virtualization, innovative solutions, technology, netapp
    
NetApp
Published By: Cisco     Published Date: Feb 13, 2009
This white paper details how continuous data protection for files is important in this current day where lost data can significantly affect productivity, customer satisfaction, and, ultimately, revenue.
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cisco, data protection, network storage systems, data recovery, data loss, security
    
Cisco
Published By: HP     Published Date: Sep 04, 2014
Data Intensity is an enterprise cloud services provider focusing on Oracle applications. Founded in 2001, it currently has 240 employees and operates two data centers with about 1,200 virtual servers. They needed a flexible storage platform to handle growth of individual customer applications, such as Oracle ERP, with minimal downtime with low operating costs. Testing included storage systems from five different vendors to find a solution that was easy to administer and provides thin provisioning, snapshots, and rapid provisioning.
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3par, storage, data, cloud, oracle, data intensity, virtual, solution
    
HP
Published By: Delphix     Published Date: Feb 28, 2013
Download this paper to learn how a virtual data storage solution can provide a simple and effective way to overcome obstacles and enable rapid deployment of multiple development and test databases against production systems with minimal storage use.
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data management, virtualization, database virtualization, data warehousing
    
Delphix
Published By: IBM     Published Date: Oct 06, 2016
Driving competitive advantage with real-time applications, enabled by SAP HANA on IBM Power Systems
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cloud computing, data management, storage solution, power systems, sap
    
IBM
Published By: Riverbed     Published Date: Sep 05, 2014
Storing data in the cloud using a Whitewater™ cloud storage gateway from Riverbed Technology overcomes what is becoming a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. Whitewater eliminates concerns about data security, data transmission speeds over the Internet, and data availability, while providing great flexibility and a favorable return on investment. Moving data to the cloud replaces the high costs of tape and disk storage systems with a pay-as-you-go cloud storage tier. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.
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data storage, cloud, it departments, security, transmission speeds
    
Riverbed
Published By: HP     Published Date: Jul 08, 2009
In these days of rampant data growth, a technology that can increase the effective capacity of a disk-based backup system by a ratio of up to 50:1 is big news. Data deduplication allows you to store up to 50 times more backup data into the same disk footprint — giving you a better chance of restoring your users' lost data from exactly the point they need it. This white paper explains how this innovative data deduplication solution works and also establishes how a 50:1 deduplication ratio may be achieved.
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dynamic deduplication, 50:1, disk based backup, data, storage, rack, dedupe, data deduplication
    
HP
Published By: IBM     Published Date: Jul 25, 2012
As it has been the trend over the last decade, organizations must continue to deal with growing data storage requirements with the same or less resources. The growing adoption of storage-as-a-service, business intelligence, and big data results in ever more Service Level Agreements that are difficult to fulfill without IT administrators spending ever longer hours in the data center. Many organizations now expect their capital expense growth for storage to be unstoppable, and see operating expense levers - such as purchasing storage systems that are easy to manage - as the only way to control data storage-related costs.
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infrastructure, technology, cloud, storage, virtualization, data management
    
IBM
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities
    
NetApp
Published By: NetApp     Published Date: Aug 26, 2016
For customers looking to implement flash for primary data center storage, NetApp's All Flash FAS systems offer some significant advantages over competitive offerings. Customer can deploy All Flash FAS arrays for specific applications now and later extend them to private and hybrid cloud-based applications as enterprise IT's longer term strategy dictates. Read this technology insight paper on investing strategically in all flash arrays.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: F5 Networks Inc     Published Date: Jan 22, 2009
F5 and Data Domain have joined their respective solutions, forming a partnership designed to assist customers in deploying and realizing the benefits of tiered storage. By combining F5’s tiered storage policy engine with Data Domain deduplication storage systems, mutual customers can realize the benefits of deploying tiered storage and, importantly, see dramatic reductions in the costs of storage.
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data domain, curb storage costs, file servers, tiered storage, deduplication storage systems
    
F5 Networks Inc
Published By: EMC Corporation     Published Date: Jun 12, 2012
Until recently, NorthStar Trade Finance Inc. had primarily been holding their data on legacy storage systems. Find out how they solved their infrastructure performance and growing storage issues using EMC VNXe in this complimentary case study!
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emc vnx, northstar, finance, productivity, unified storage, storage, emc, idc analyst report
    
EMC Corporation
Published By: IBM     Published Date: Sep 18, 2008
Large corporations can weather sudden changes in today's volatile markets, but change is a greater challenge for mid-sized companies. However, you can grow even in disruptive and emerging markets if your business systems and data storage can adapt. This IBM white paper includes case studies that show you how systems can spur growth in times of change.
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ibm, ibm mmdg, storage, systems, network management
    
IBM
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads. Download this white paper to learn how you can get the most from your storage environment.
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Hewlett Packard Enterprise
Published By: Texas Memory Systems     Published Date: Feb 25, 2012
For data centers looking to get the maximum performance from Flash-based storage supporting their virtual infrastructure, the RamSan-720 should be given strong consideration.
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ramsan-720, integrated ssd, ssd, virtual server, infrastructure, desktop infrastructure, server virtualization, desktop virtualization
    
Texas Memory Systems
Published By: Oracle     Published Date: Jan 28, 2019
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure. Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
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Oracle
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