data volume

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Published By: SAS     Published Date: Apr 20, 2017
Hype and hope — Big Data has generated a lot of both. Thanks to an abundance of enterprise information systems, networks, applications and devices that churn out huge volumes of information, government agencies are awash in Big Data. Add to this data growth the emerging trend of the Internet of Things (IoT) — the network of people, data, things and processes that is increasingly linked through automated connections and sensors — and the future of Big Data can seem quite daunting.
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SAS
Published By: Dell Storage     Published Date: Apr 21, 2011
The Dell Compellent vSphere Plug-In currently under development will enable data center administrators to manage many aspects of Dell Compellent Fluid Data storage directly through the VMware vSphere client. This demo video shows how to leverage the integration to provision and map storage volumes for VMFS datastores, create storage profiles for automated tiering and continuous snapshots, and recover datastores to virtually any point in time - all through a single interface. (4 min)
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dell compellent, server, storage, vmware vsphere, integration, compellent vsphere plug-in, fluid data storage
    
Dell Storage
Published By: Dell Storage     Published Date: Apr 21, 2011
Enterprise Manager provides a single storage resource management (SRM) interface for one or more Compellent SANs. The software also integrates with VMware vCenter to enhance server and storage visibility and manageability. This demo video shows how to use Enterprise Manager to collect VM host and guest storage statistics from vCenter, create, map and rescan storage volumes, and then format the volumes with VMFS to create datastores or assign the volumes as RDMs to a virtual machine. (3 min)
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dell compellent, vcenter integration, compellent enterprise manager, storage resource management, srm, vmware vcenter, server, storage, virtual machine
    
Dell Storage
Published By: IBM     Published Date: Jul 05, 2012
Esri, a U.S. software company, had growing data volumes as they added new applications. System response slowed down and their existing infrastructure had no room for extension. Read the white paper and see how with the IBM Migration Factory helped Esri consolidate 16 physical servers to two, automate storage management and drastically cut costs.
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ibm, technology, sap, sofrware, technology, migration factory, storage
    
IBM
Published By: IBM     Published Date: Sep 06, 2013
In this IBM security report, we will take a look at the data we've gathered through our monitoring operations and the security intelligence generated by our analysts and incident response teams who interpret that data. Our aim is to help you gain important insights into the current threat landscape - with a close look at the volume of attacks, the industries most impacted , the most prevalent types of attacks and attackers, and the key factors enabling them.
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ibm, security services, cyber security intelligence, index, security report, security attacks, security protection, business security, data security, security intelligence index
    
IBM
Published By: IBM     Published Date: Aug 06, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
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ibm, insurance, data, big data, analytics, solutions
    
IBM
Published By: HP     Published Date: May 14, 2014
In today’s world of explosive data volumes, midmarket companies face a growing number of challenges when it comes to safeguarding data, and today's approaches to backup and data protection are falling short. The Brief outlines HP solutions to meet IT needs for backup appliances that tightly integrate deduplication, data protection and recovery.
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hewlett packard, data, backup, . data protections, recovery, deduplication
    
HP
Published By: MobileIron     Published Date: Feb 26, 2018
Enterprises are increasingly expected to support Macs as corporateapproved devices. In order to be in compliance, it is imperative that all devices accessing sensitive corporate and customer data be fully secured and managed. MobileIron delivers a new model for authentication and identity to Macs and enables enterprises to unify Apple mobile and desktop operations using a common security and management platform. MobileIron’s layered security can be extended to not only corporate-owned Macs, but to employee-owned devices as well. And, IT organizations can bring Macs under management across the organization with unparalleled speed and at scale thanks to seamless integration with Apple’s Device Enrollment Program (DEP) and Volume Purchase Program (VPP).
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MobileIron
Published By: IBM     Published Date: Oct 13, 2016
In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. Download this white paper to learn how.
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database, big data, analytics, infrastructure
    
IBM
Published By: Commvault     Published Date: Jul 06, 2016
ENDPOINT DATA. It’s often one of the most forgotten aspects of an enterprise data protection strategy. Yet, content on laptops, desktops and mobile devices is among a company’s most valuable data even while it’s potentially at the greatest risk. According to IDC there will be some 1.3 billion mobile workers by 2015.1 However, only half of enterprises today are using some type of endpoint backup.2 That means that the volume of endpoint data that is in jeopardy is nothing short of significant.
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encryption, data loss prevention, mobile app
    
Commvault
Published By: IBM     Published Date: Mar 30, 2017
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as extract, transfer and load (ETL), data replication or data virtualization.
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data integration, data security, data optimization, data virtualization, database security
    
IBM
Published By: CrowdStrike     Published Date: Feb 01, 2017
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. Download the white paper to learn: • How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google • How CrowdStrike solved this challenge by building its own proprietary graph data model • How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches
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CrowdStrike
Published By: Wasabi     Published Date: Oct 24, 2017
An explosion of data storage needs, both in terms of volume and accessibility, are unmet by first-generation storage solutions. The massive datasets being generated are un-storable due to costs and unable to be fully leveraged because of speed limitations. The needs of individual businesses, and our greater economy, demand the commoditization of cloud storage. Cloud Storage 2.0 represents a new generation of solutions that promise to turn Cloud Storage into a utility along the lines of bandwidth and electricity. Leading this evolution with high-speed, low cost, reliable cloud storage is Wasabi. In this white paper we look at the genesis and possibilities of Cloud Storage 2.0, and Wasabi’s place at its forefront. Free trial with no credit card required offer available as well.
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Wasabi
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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database, streamlining, it infrastructure, database systems
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Cloudian     Published Date: Feb 21, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Redstor UK     Published Date: May 02, 2018
Many organisations are facing challenges relating to the unstructured data they hold. By its very nature, unstructured data is in a form that is difficult to manage, and it is growing rapidly in size. This can make it difficult to understand who owns that data, whether it is being used or even whether it is of any value. Industry forecasts indicate the volume of data generated by corporates is expected to double over the next three years and, with General Data Protection Regulation taking effect in May 2018, organisations need a more efficient way to manage and control this data. This White Paper provides an overview of the important technical considerations senior business and IT management teams need to review before choosing an archiving provider.
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Redstor UK
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