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How to Enable High-Performance ELT Processing

Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services

Choosing Hardware & Software Platforms to Yield Maximum Consolidation Success with Virtualization

Published By: AMD     Published Date: Jul 23, 2012
For most organizations, consolidation is the starting point and primary initial driver for their virtualization efforts. By enabling the sharing and pooling of resources, virtualization has become a proven, adept and widely adopted technology in allowing organizations of all sizes to achieve some of their most important technology consolidation initiatives.
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virtualization, it resources, amd, microsoft, it infrastructure, cost-efficient, software platforms, green computing
    
AMD

Aternity Extends User Experience Management Beyond Enterprise Borders to Mobile and Beyond

Published By: Aternity     Published Date: Jul 20, 2012
This essential resource highlights a groundbreaking end user experience (EUE) management platform that can help organizations enable unparalleled application performance and user experience across physical, virtual and mobile environments. Discover how the extensive monitoring, reporting and analysis tools included in this platform are helping organizations overcome common mobile computing challenges.
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technology, user, experience, management, enterprise, experience management, mobile, mobile computing
    
Aternity

How to Enable High-Performance ELT Processing

Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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AWS

Cisco Unified Data Center: The Foundation for Cloud Infrastructure

Published By: Cisco     Published Date: Nov 08, 2012
Download this whitepaper to learn more about the Cisco® Unified Data Center platform, designed specifically to overcome the current data center constraints and provide agile, simplified, and efficient IT service delivery and cloud computing.
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unified data center, cloud infrastructure, cloud computing, unified management, cisco, business technology, data center
    
Cisco

Solution Brief: Cisco UDC: The Optimal Infrastructure for Microsoft Environments and Applications

Published By: Cisco     Published Date: Jan 05, 2015
Cisco Unified Data Center unifies compute, storage, netw orking, virtualization, and management into a single platform. The result is operational simplicity and business agility -- essential for cloud computing and deploying IT as a Service.
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solution guide, integrate, infrastructure, solutions, applications, it management, data management
    
Cisco

Cisco Unified Data Center: The Optimal Infrastructure for Microsoft Environments and Applications

Published By: Cisco     Published Date: May 15, 2015
Cisco Unified Data Center unifies compute, storage, networking, virtualization, and management into a single platform. The result is operational simplicity and business agility -- essential for cloud computing and deploying IT as a Service.
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data center, software, networking, infrastructure, applications, cisco, network management, network performance management
    
Cisco

IDC - The New Need for Speed in the Datacenter Network

Published By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco

The New Need for Speed in the Datacenter Network

Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco

Safely Enter the Cloud: Cloud Computing Basics

Published By: Cloudroute     Published Date: Jun 01, 2016
Cloud computing has changed the way businesses and people think about using technology to serve their needs. Too many, cloud computing is nothing but hype and overblown as the new direction for Information Technology. But to many more, cloud computing represents the future of how every business should plan, operate and execute applications, systems and processes. Goldman Sachs forecasts spending on cloud computing infrastructure and platforms will grow at a 30% compound annual growth rate (CAGR) from 2013 through 2018 compared with 5 percent growth for overall enterprise IT. Moreover, Forrester recently revised its 2011 forecast of the public cloud market size upward by 20 percent. Regardless, it is important to know what cloud computing is.
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Cloudroute

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
Tags : 
    
Dell APAC

Unlock the Power of Data Capital: Accelerate DX

Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC

Justifying Investment in All-Flash Arrays

Published By: Dell EMC     Published Date: Feb 23, 2017
During the course of research efforts in the all-flash array (AFA) space, IDC is still encountering IT executives, particularly CIOs and CFOs, who have an outdated perspective on relevant cost metrics for comparing all-flash solutions with legacy hard disk drive (HDD)–based systems. In IDC's view, flash is an absolute requirement for performance reasons in any 3rd Platform computing environment. While most understand the need for flash performance, there is still a subset that does not view the broader use of flash in the enterprise as cost effective
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Dell EMC

Efficient, Cost-Effective VDI Expansion on Converged Infrastructure

Published By: Dell EMC     Published Date: May 10, 2017
Business leaders are increasingly looking to IT to deliver a mobile workspace. In this IDC white paper, learn how to leverage converged infrastructure as a cost-effective and efficient platform to support virtual client computing environments with Dell EMC. Download this white paper from Dell EMC and Intel® to learn more.
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Dell EMC

Automating NetOps: Closing the IT Skills Gap

Published By: F5 Networks Inc     Published Date: Mar 30, 2018
Enterprises understand that greater efficiency, improved time-to value, and new opportunities can be gained by using cloud platforms; automating and accelerating their IT delivery; and putting technology to work in new ways to digitally transform their business. The difficult question is how to create an organization that is able to deliver these innovations. Skilled resources do exist, but they command high salaries and are in short supply. In fact, 70% of respondents to a recent Computing survey stated that their companies face a shortage of cloud skills. While bringing in experienced staff who can guide and lead new initiatives is often a necessity, it’s vital to concurrently train your existing staff and adopt solutions that narrow the gap between the realities of the present and the hopes for the future.
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netops, skills, automation, enterprises, cloud, delivery, resources
    
F5 Networks Inc

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q119

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q2'19

Bloor InDetail: IBM Cloud Private for Data

Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
In Forrester’s evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q3'19

Customer Care_Forrester Wave - Conversational Computing

Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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Group M_IBM Q4'19
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