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Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
Tags : 
    
Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Dell     Published Date: Sep 26, 2017
Government leaders have the unprecedented opportunity to accelerate the path to IT modernization. Download this whitepaper to learn more about the IT trends driving digital transformations and the considerations to be made in determining a successful strategy toward effective and compliant IT modernization. With the right approach, organizations can create an efficient and future-ready launching pad to agilely, cost-effectively and securely meet the needs of constituents, employees and internal customers; accommodate increasing data volumes; and comply with regulatory requirements.
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Dell
Published By: VMware     Published Date: Sep 06, 2017
"By implementing the VMware App Volumes™ application management solution, OGL built a multitenant VDI environment that delivers an extensive range of applications to customers in real time, with full application functionality on any device, while also reducing OpEx and CapEx. Download this case study to learn how OGL Computer addressed these issues and more with VMware App Volumes: • Scale VDI service for more customers and applications. • Reduce expenses of Citrix VDI solution delivery. • Deliver and manage applications dynamically, in real time. • Give users desktop access on any Internet-connected device. "
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VMware
Published By: Dell EMC     Published Date: Aug 22, 2017
This Lab Validation Report documents the results of recent hands-on testing of Dell EMC Isilon All-Flash storage. Testing focused on the platform’s performance and scalability and how it enables organizations to support more applications and workloads with flash based on their ever-increasing volumes of unstructured data.
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Dell EMC
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
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: VMware AirWatch     Published Date: Feb 21, 2017
By implementing the VMware App Volumes™ application management solution, OGL built a multitenant VDI environment that delivers an extensive range of applications to customers in real time, with full application functionality on any device, while also reducing OpEx and CapEx. Download this case study to learn how OGL Computer addressed these issues and more with VMware App Volumes: • Scale VDI service for more customers and applications. • Reduce expenses of Citrix VDI solution delivery. • Deliver and manage applications dynamically, in real time. • Give users desktop access on any Internet-connected device.
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VMware AirWatch
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: IBM     Published Date: Jul 19, 2016
Data movement and management is a major pain point for organizations operating HPC environments. Whether you are deploying a single cluster, or managing a diverse research facility, you should be taking a data centric approach. As data volumes grow and the cost of compute drops, managing data consumes more of the HPC budget and computational time. The need for Data Centric HPC architectures grows dramatically as research teams pool their resources to purchase more resources and improve overall utilization. Learn more in this white paper about the key considerations when expanding from traditional compute-centric to data-centric HPC.
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ibm, analytics, hpc, big data
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
In our 21-criteria evaluation of the dynamic case management (DCM) market, we identified the 14 most significant software vendors — Appian, bpm’online, Column Technologies, DST Systems, Eccentex, IBM, Isis Papyrus, Lexmark Enterprise Software, MicroPact, Newgen Software, OnBase by Hyland, OpenText, Pegasystems, and TIBCO Software — and researched, analyzed, and scored them. The evaluation focused on providers’ adaptive, analytics, and mobile features, all critical to helping enterprises tackle increasing volumes of varied and unstructured work. This report helps enterprise architecture (EA) professionals select the best providers to meet their unique needs.
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ibm, forrester, forrester wave, dynamic case management, dcm
    
IBM
Published By: Esker     Published Date: Jun 29, 2016
Approximately 79% of customers seeking customer service and support wish it were easier and more convenient to obtain.* Read the new Customer Service Workbook to discover industry tips and best practices for bringing efficiency and profitability to order management while freeing up your CSRs to: • Process orders quicker with fewer errors • Carry out customer engagement strategies • Manage order volumes at current staffing levels • Increase customer loyalty
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customer service, best practices, efficiency, profit, business management
    
Esker
Published By: IBM     Published Date: May 19, 2016
In our 21-criteria evaluation of the dynamic case management (DCM) market, we identified the 14 most significant software vendors — Appian, bpm’online, Column Technologies, DST Systems, Eccentex, IBM, Isis Papyrus, Lexmark Enterprise Software, MicroPact, Newgen Software, OnBase by Hyland, OpenText, Pegasystems, and TIBCO Software — and researched, analyzed, and scored them. The evaluation focused on providers’ adaptive, analytics, and mobile features, all critical to helping enterprises tackle increasing volumes of varied and unstructured work. This report helps enterprise architecture (EA) professionals select the best providers to meet their unique needs.
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ibm, forrester, forrester wave, dynamic case management, dcm, software vendors, software
    
IBM
Published By: NetApp     Published Date: Feb 19, 2015
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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NetApp
Published By: NetApp     Published Date: Dec 09, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate.
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netapp, hybrid, flash pool, ssd, hdd, iops, oltp, demartek
    
NetApp
Published By: Esker     Published Date: Dec 08, 2014
Approximately 79% of customers seeking customer service and support wish it were easier and more convenient to obtain.* Read the new Customer Service Workbook to discover industry tips and best practices for bringing efficiency and profitability to order management while freeing up your CSRs to: • Process orders quicker with fewer errors • Carry out customer engagement strategies • Manage order volumes at current staffing levels • Increase customer loyalty
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customer service, csr, outbound calls, self-service, strategies, automation, electronic workflow, visibility, streamline, social media
    
Esker
Published By: NetApp     Published Date: Dec 08, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate.
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netapp, hybrid, flash pool, ssd, hdd, iops, oltp, demartek
    
NetApp
Published By: NetApp     Published Date: Sep 22, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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flash pool, fas storage systems, ssd, online transaction processing, cluster storage
    
NetApp
Published By: Cyveillance     Published Date: Jun 20, 2014
Phishing is defined by the Financial Services Technology Consortium (FSTC) as a broadly launched social engineering attack in which an electronic identity is misrepresented in an attempt to trick individuals into revealing personal credentials that can be used fraudulently against them. In short, it’s online fraud to the highest degree. Although it’s been around for years, phishing is still one of the most common and effective online scams. The schemes are varied, typically involving some combination of spoofed email (spam), malicious software (malware), and fake websites to harvest personal information from unwitting consumers. The explosive rise of mobile devices, mobile applications, and social media networks has given phishers new vectors to exploit, along with access to volumes of personal data that can be used in more targeted attacks or spear phishing. The fact that phishing attacks are still so common highlights their efficacy and reinforces the need to implement comprehensive phishing and response plans to protect organizations. An effective phishing protection plan should focus on four primary areas: Prevention, Detection, Response, and Recovery. High-level recommendations for each of the four areas are outlined in this whitepaper.
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cyveillance, phishing, security, cyberattacks, cybercriminals, threats
    
Cyveillance
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: Cleversafe     Published Date: Dec 07, 2012
Dispersed Storage is an innovative approach for cost-effectively storing large volumes of unstructured data while ensuring security, availability and reliability.
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dispersed, storage, unstructured, availability, reliability, large volumes
    
Cleversafe
Published By: Riverbed     Published Date: May 24, 2012
Data transfer bottlenecks and unpredictability on the Wide Area Network (WAN) can hurt application performance. In addition, the time required to migrate large volumes of data to and from data centers can be a serious concern to business continuity.
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wan, wan optimization, riverbed, virtual steelhead
    
Riverbed
Published By: NetApp     Published Date: Aug 19, 2010
You'll learn about the best storage configurations for Hyper-V, NetApp's virtualization "sweet spot," and Avanade's firsthand experience with two much-anticipated R2 features: Cluster Shared Volumes and Live Migration.
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netapp, hyper-v r2, virtualization, cluster shared, live migration, windows server intergration
    
NetApp
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