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data practices

Results 1 - 25 of 385Sort Results By: Published Date | Title | Company Name
Published By: Chatsworth     Published Date: Oct 06, 2016
In this white paper, we will discuss the following key topics so that your data centre operates more efficiently and cost-effectively: • Growing energy utilisation • Creating cooling efficiencies • Enabling efficiency best practices Furthermore, we will look at great ways to overcome cooling, energy and even design challenges.
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data center, power management, pdus, spm, chatsworth_wp, networking, telecom
    
Chatsworth
Published By: Anixter     Published Date: Jun 16, 2015
Faster, denser technology is driving costs, and the right high performance cabling is needed to provide stability in the data center. Unsuitable infrastructure can become an expensive problem, delaying necessary upgrades and creating other potential obstacles needed to stay competitive. This report contains the four best practices needed to achieve a high performance, future-ready structured cabling solution for a data center.
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network migration, cabling, data speed, network infrastructure, data center, infrastructure, network performance, data center design and management
    
Anixter
Published By: Nexans     Published Date: Apr 20, 2017
According to Cisco’s Global Cloud Index (2015), global data centre IP traffic will grow at a CAGR of 25% between 2014 and 2019 and data centre workloads within ‘traditional’ (as opposed to cloud) data centres will more than double. In this guide you will find best practices to meet the demands of the Digital Economy, with help from DatacenterDynamics and Nexans.
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data center
    
Nexans
Published By: LeGrand     Published Date: Oct 18, 2016
Efficiency is a key objective when designing a data center. Efficiency gains are typically focused completely on power and cooling. Efficiencies can be realized in many other areas resulting in additional cost savings, reliable network performance, easier maintenance, flexibility, and scalability.
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data center, connection, design, performance, time, space, experience, legrand, networking, security
    
LeGrand
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
As more and more companies are encouraging their employees to work from anywhere, on any device, data loss prevention (DLP) has evolved from an option to a requirement. In the past, DLP has been associated with complicated deployments and pervading operational management issues, yet DLP is not so much a product but a strategy—success depends on methodology and execution. Download the whitepaper for insightful guidance on implementing DLP. Key topics include: • Latest data-breach trends • Assessing DLP vendors • Nine-step framework • Best practices to ensure success
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Pure Storage     Published Date: Apr 15, 2019
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights. By watching this webinar, you'll learn: - Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business - Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center - Gain insights that can drive your AI infrastructur
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Pure Storage
Published By: APC by Schneider Electric     Published Date: Feb 09, 2011
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.
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absolute, data protection, maitenance, ups, physical infrastructure, infrastructure, data loss protection, dlp, ponemon, it security, sensitive data
    
APC by Schneider Electric
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Coupa     Published Date: Dec 14, 2018
Many procurement departments are still using traditional manual processes or outdated technology. The result? Rogue spending, missed discounts from supplier contract pricing, reconciliation headaches, and the list goes on. These business risks are driving more organizations towards the cloud-based, secure, and workflow-friendly world of eProcurement solutions. These solutions are saving money and resources, improving use of budgets and personnel, enabling centralization, and using data to improve and streamline end-to-end purchasing processes. Download this report to learn about: Procurement trends from 400 organizations surveyed Operational and cost-savings benefits of eProcurement Leading features and functionality in eProcurement Adoption best practices and how to get started
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Coupa
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
Published By: Broadsoft     Published Date: May 25, 2017
This whitepaper is for contact center management and business executives looking for ways to optimize the business performance of their contact center. • If yours is an existing contact center with infrastructure that has been built up over the years, this whitepaper provides bestpractice steps to break down the resulting data silos, unify them, and optimize your contact center for business performance. • If yours is a new contact center and you have the opportunity to build your infrastructure from the ground up using modern technologies, this whitepaper will provide best practices to prevent building data silos.
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Broadsoft
Published By: SAS     Published Date: Jan 17, 2018
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: Pentaho     Published Date: Feb 26, 2015
This TDWI Best Practices report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies.
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big data, big data analytics, data warehousing technologies, data storage, business intelligence, data integration, enterprise applications
    
Pentaho
Published By: Pentaho     Published Date: Nov 04, 2015
This report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies based on TDWI research plus survey responses from 325 data management professionals across 13 industries. It also covers Hadoop best practices and provides an overview of tools and platforms that integrate with Hadoop.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, data management, networking, it management, enterprise applications, data center
    
Pentaho
Published By: Dome9     Published Date: Apr 25, 2018
Cloud investment continues to grow over 20% annually as organizations are looking for faster time to deployment, scalability, reduced maintenance, and lower cost. But there is one aspect of cloud that consistently worries IT and security professionals – how to achieve high levels of security in the cloud. As cloud adoption increases, the fears of unauthorized access, stolen identities, data and privacy loss, and confidentiality and compliance issues are rising right along with it. This report has been produced by the 350,000 member Information Security Community on LinkedIn in partnership with Crowd Research Partners to explore how organizations are responding to the security threats in the cloud and what tools and best practices IT cybersecurity leaders are considering in their move to the cloud. 2
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Dome9
Published By: Dome9     Published Date: Apr 25, 2018
AWS provides powerful controls to manage the security of software-defined infrastructure and cloud workloads, including virtual networks for segmentation, DDoS mitigation, data encryption, and identity and access control. Because AWS enables rapid and elastic scalability, the key to securing cloud environments is using security automation and orchestration to effectively implement consistent protection across your AWS environment. The following eBook will discuss Dome9 best practices for using AWS controls to establish a strict security posture that addresses your unique business needs, and maintaining consistency across regions, accounts, and Virtual Private Clouds (VPCs) as your environment grows.
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Dome9
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Fortinet’s 2018 Security Implications of Digital Transformation Survey looks at the state of cybersecurity in organizations around the world from the lens of digital transformation (DX). Three hundred responses from CISOs and CSOs at large organizations helped us identify several current trends: n Digital transformation is the most impactful IT trend on businesses today, with 92% responding that it has a large impact today. n Security is by far the biggest challenge to DX efforts, with 85% of respondents saying it has a large impact. n The typical organization saw four attacks that resulted in data loss, outages, or compliance events over two years. n Many companies have automated some of their security procedures, but they are even further behind with other security best practices. n Big chunks of infrastructure remain vulnerable in the typical organization, with 25% of the infrastructure not adequately protected at the typical organization. Looking more deeply into the data, we ident
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Fortinet EMEA
Published By: Websense     Published Date: Jan 25, 2013
In this whitepaper, we provide guidance and clarity to help you implement a DLP control that is practical, efficient, and effective. Learn about 4 key topics of data breaches, potential vendors, 9 step framework and other best practices.
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websense, data loss prevention, executive guide, data loss, practical guide, 4 topics, potential vendors, it management, data center
    
Websense
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Dell EMC     Published Date: Jul 05, 2016
EMC Unity is modernizing the datacenter, delivering advances that simplify the task of keeping up with growing storage demands. These are just some of the top reasons to migrate today.
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data management, business practices, data center. data application, enterprise applications, storage
    
Dell EMC
Published By: Dell EMC     Published Date: Jul 05, 2016
This report documents hands-on testing of an EMC data protection solution for virtual environments using Avamar Virtual Edition with a Data Domain system
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data management, business practices, data center. data application, enterprise applications, security, performance management
    
Dell EMC
Published By: Dell EMC     Published Date: Jul 05, 2016
EMC Global Data Protection Index 2016 Key Findings and Results Report
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data management, business practices, data center. data application, enterprise applications, business intelligence, security
    
Dell EMC
Published By: Red Hat     Published Date: Jan 01, 2013
Traditional security measures such as network firewalls are no longer enough to keep an enterprise secure. With Red Hat Enterprise Linux, security mechanisms are incorporated and applied at the core of every solution, and security is extended to include all the open source packages that make up Red Hat Enterprise Linux. As a result, customers experience a higher quality of service.
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red hat, security systems, server operating system, next-generation datacenters, enterprise linux, security innovation, evade network defenses, dynamic datacenters, virtualization technologies, cloud computing practices, security, data center
    
Red Hat
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