data management

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Published By: Aligned Data Centers     Published Date: Nov 16, 2016
With Aligned Data Centers, you are in control of your data center. The paper that follow explains how.
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data center, power, data center energy, power and cooling, data center management
    
Aligned Data Centers
Published By: Allscripts     Published Date: May 01, 2014
Know when, why and how your current EHR platform may fall short of delivering a transformative community of care—and develop a new value-based care model that elevates population health and grows revenue across your organization.
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allscripts, ambulatory ehr, ehr platform, grow revenue, population health, replace ehr, it systems, deploy, raw data, financial outcomes, ambulatory care, health management, idc health insights, balancing regulations, productivity, replacing ehr
    
Allscripts
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
In order to improve competitive advantage, decision making, and operational efficiencies, many of today’s leading organizations are creating an Office of the Chief Data Officer. According to Gartner, “90 percent of large companies will have a CDO role by the end of 2019”.
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Alteryx, Inc.
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Organizations that want to apply consistent data management, governance and security practices across their organization can learn a lot from Ford Motor Company. Data-driven decision making led Ford Motor Company to perfect the vehicle assembly line in 1913. A century later, Ford had more than 4,600 data sources, and a wide range of analytical tools, methods, and processes in use throughout the company, and needed a more strategic approach to decision-making.
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Alteryx, Inc.
Published By: Altiscale     Published Date: May 28, 2015
Big Data technologies are maturing and quickly moving into the next phase - one that expands in data use-cases as Hadoop moves into more influential roles throughout IT infrastructures. In this just-released report, Gartner is recognizing four Big Data vendors as "cool." Gartner says these vendors can meaningfully and synergistically combine multiple types of functionality.
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big data, vendors, functionality, cool vendors, consistent performance, it management, data management; add - gartner, hadoop
    
Altiscale
Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache
    
Altiscale
Published By: Amazon     Published Date: Nov 07, 2013
Learn about all the different services that AWS provides today in this whitepaper.
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amazon web services, aws, aws cloud, cloud computing, infrastructure, soa, service oriented infrastructure, flexibility, cost effective, scalability, security, networking, storage, content delivery, database management, deployment management, application services
    
Amazon
Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis
    
Amazon
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: 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: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
Published By: AMD     Published Date: Jul 20, 2012
Server virtualization falls within the domain of IT operations but it can very much be a business matter with a measurable impact on the bottom line. Esoteric as it may seem from a business perspective, the server platform, powered by the processor.
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virtualization, cloud connection, public cloud, private cloud, private/public hybrid, virtual power equation, data processing, virtual machine density, silicon, system management, scalability
    
AMD
Published By: AMD     Published Date: Jul 20, 2012
Business agility can be defined as a company's ability to respond to changes in business conditions quickly enough to benefit from them.
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amd, dell, microsoft, it administrators, virtualization, agile business execution, virtual server performance, data migration, data management, data center, scalability, system management, provisioning, configuration, monitoring, alerting, poweredge, hyper v, amd opteron
    
AMD
Published By: AMD     Published Date: Jul 20, 2012
Business agility be defined as a company's ability to respond to changes in business conditions quickly enough to benefit from them.
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virtualization, it support, it management, data managemtn, cloud computing, cloud network, virtual server performance, data migration, scalability, system management, cost factors, amd operton, vmware, silicon, hardware-assisted virtualization, smooth migration
    
AMD
Published By: AMD     Published Date: Jul 23, 2012
How Microsoft Hyper-V and AMD Opteron Processors Enable True Business Agility.
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virtualization, cloud computing, data mirgation, virtualized machines, virtual server performance, scalability, power management, system management, provisioning, configuration, busines agility, it management, amd opteron, microsoft, sql
    
AMD
Published By: AMD     Published Date: Oct 08, 2012
Virtualization has become the go-to technology to help organizations of all sizes successfully consolidate IT resources.
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amd, cloud computing, cloud, data, data management, infrastructure, virtualization, cloud computing
    
AMD
Published By: AMD     Published Date: Oct 08, 2012
Understanding the Totality of the Move to Virtual Machines and Infrastructure
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amd, cloud computing, cloud, data, data management, infrastructure, virtualization, data center, power efficiency, cloud computing
    
AMD
Published By: AMD     Published Date: Oct 08, 2012
Business agility be defined as a company's ability to respond to changes in business conditions quickly enough to benefit from them. To support business agility, IT managers generally want to be able to execute projects quickly and efficiently,
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amd, business agility, cloud computing, cloud, data, data management, infrastructure, virtualization, data center
    
AMD
Published By: AMD     Published Date: Oct 08, 2012
Transcendent Technology for the Dynamic Data Center
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amd, cloud computing, cloud, data, data management, infrastructure
    
AMD
Published By: Anaplan     Published Date: Mar 05, 2015
Many sales organizations continue to operate as they have for years: At headquarters, executives work with sales leaders to set revenue targets for the year. Sales teams receive top-down goals, which cascade across product lines, channels and other business dimensions. The end result is an account-level target, which is assigned to a sales rep. Because most companies do not have an easy way to complete this process—nor do they use a common system of record—they must resort to the quickest and easiest mechanism at hand: spreadsheets, a nonscalable, single-dimensional solution that does not handle complete data sets. This approach also poses challenges across key sales management functions, including planning, execution and optimization.
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consolidation, planning, survey, performance, sales, audience, finance, strategic exercise, compliance, software soliutions
    
Anaplan
Published By: Anaplan     Published Date: Jan 08, 2016
Read this white paper to discover seven common reasons companies are replacing their spreadsheets with a true enterprise planning platform.
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anaplan, spreadsheets, finance planning, budget, accounting, data management, agile, asset management, financial advisors, marketing, technology, finance
    
Anaplan
Published By: Anaplan     Published Date: Mar 29, 2018
IDC believes that digitization and the 3rd Platform are driving enterprise leaders to consider significant upgrades to their business systems. Included in this list of systems are enterprise planning and performance management solutions. New tools must be fast and flexible to connect data from throughout an organization and continuously synchronize plans with changing market conditions. Organizations with planning and performance management needs should proactively evaluate connected EPM solutions as a central component of their digital enterprise strategies.
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enterprise, management, solutions, data, organization, solutions
    
Anaplan
Published By: APC by Schneider Electric     Published Date: Feb 15, 2011
This paper divides the realm of data center "Operations Technology" into four distinct domains and compares the primary and secondary functions of key subsystems within these domains.
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apc by schneider electric, classification, data center operations technology, ot management tools, software management tool, physical infrastructure
    
APC by Schneider Electric
Published By: AppNeta     Published Date: Oct 28, 2013
Learn about the four key questions you need to consider when making an informed decision about an APM solution and the critical features for modern application performance management.
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appneta, traceview, applications, application management, application management technology, apm, application performance management, performance management, apm solutions, apm tools, cloud, complex apps, integration, deployment, scripting, saas, architecture environments, actionable performance data, application performance management, full-stack
    
AppNeta
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