it management

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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
    
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: Nov 28, 2017
You keep close control of the security you need to manage. You can stop being concerned about the security of the foundational services your IT infrastructure is built on. You get the benefits of a robust cloud infrastructure with a reliably secure service that’s scalable, responsive, and efficient. More control, more compliance, less time, less effort.
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security, cost, compliance, disruption, mitigation, management, maintenance
    
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: Amazon Web Services APAC     Published Date: Sep 19, 2019
In January 2016, the Federal Risk and Authorization Management Program released a draft of its high-impact baseline for moving federal data to the cloud. Not long after, Amazon Web Services (AWS) accepted an offer to pilot the new security threshold. AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around. Over 2,300 government agencies worldwide have already migrated to the AWS Cloud. And in the U.S., this will only increase with the release of FedRAMP’s high baseline standards. Previously, CSPs could only become certified at a low or moderate baseline under FedRAMP, meaning agencies had no security baseline from which to spring their sensitive data into the cloud. These new standards effectively represent the fall of the final formal barrier to federal cloud computing. Terabytes o
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Amazon Web Services APAC
Published By: Amazon Web Services EMEA     Published Date: Sep 09, 2019
AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around
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Amazon Web Services EMEA
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
    
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
    
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
    
AMD
Published By: AMD     Published Date: Jul 23, 2012
Virtualization and the cloud have effectively become mandates for IT. Though we are still somewhat early in the virtualization and cloud lifecycles, it's quite clear that these two technologies are going to become major, if not dominant models of IT.
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cloud computing, virtualization, scalability, memory management, server density, maintainability, workload management, network connections
    
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
    
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
How Microsoft Hyper-V and AMD Opteron Processors Enable True Business Agility
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amd, cloud computing, cloud, da6ta management, infrastructure, virtualization, server, data
    
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
    
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
    
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
    
Anaplan
Published By: Anaplan     Published Date: Mar 05, 2015
Financial consolidation systems are the ‘engine room’ of the corporate finance department, enabling companies of all sizes to comply with regulatory reporting requirements, company law and global accounting standards as well satisfy management’s need for periodic management reporting. But all is not well with standalone consolidations applications that were developed in the 1990’s and which are still commonplace in some of the world’s largest multinationals. According to one recent report, 47 percent of companies have made substantial investments in the last year in their financial close, filing, and reporting. Yet, despite the considerable sums of money invested in the process, management teams across the globe remain dissatisfied with the quality and timeliness of management information.
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consolidation, planning, survey, performance, sales, audience, finance, strategic exercise
    
Anaplan
Published By: Anaplan     Published Date: Nov 27, 2017
"A recent CSO Insights’ study* found that 69 percent of organizations use three or more metrics to build their sales compensation plans, but modeling and planning this sales strategy can quickly become too complex as a spreadsheet-driven exercise. Download this white paper to find: • The disconnect between sales behavior and incentive compensation structure • A recommended approach you can take to optimize your compensation plan • Three key steps to better predict and control sales revenue *CSO Insights 7th Annual Incentive Compensation and Performance Management (ICPM) study"
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Anaplan
Published By: Anaplan     Published Date: Mar 29, 2018
As businesses grow more optimistic about opportunities for growth, the pressure is on for sales organizations to meet ever higher revenue targets. In a global survey on sales performance optimization by CSO Insights, 94 percent of respondents said their 2014 revenue targets were higher than last year’s. It’s no wonder that “capture new accounts,” cited by 60 percent of respondents, topped the list of objectives for 2014 in the study. At the same time, many sales reps are struggling to meet even their current quotas. And in an Aberdeen Group survey, nearly half identified insufficient revenue growth as the top pressure motivating them to pursue sales management initiatives ranging from building out the capabilities of sales teams to improving management practices and investing in technology tools.
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sales, performance, revenue, optimization, objectives, accounts
    
Anaplan
Published By: Anaplan     Published Date: Mar 29, 2018
Disruptive innovation, new business models, and globalization have accelerated the rate of change for every business. To stay competitive, organizations are revising their business models, product sets, and other critical aspects of their operations on a much more frequent and continuous basis. These organizations realize that real-time strategic planning and performance management are not just “nice to have” but “must have” capabilities. Yet many organizations still struggle to implement these capabilities. As a result, they’re unable to quickly revise their strategies, implement plans, and monitor results.
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strategic, planning, innovation, business, globalization, organizations
    
Anaplan
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