big data

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Published By: Dell     Published Date: May 18, 2015
What’s wrong with enterprise IT today? Most IT leaders have a ready answer: infrastructure that’s too expensive, inflexible, and difficult to manage. To solve these problems, Dell designed a platform that offers more choice, reduces complexity, and excels at scalability. Read more in this whitepaper!
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infrastructure, big data, data center, scalability, reduce complexity, data management
    
Dell
Published By: Dell     Published Date: May 18, 2015
The paper discusses VRTX and FX as innovation proof points for Dell’s compute infrastructure vision. Learn more by downloading this whitepaper!
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infrastructure, big data, data center, scalability, reduce complexity, data management
    
Dell
Published By: Dell     Published Date: May 18, 2015
Learn to bridge traditional and software-defined workloads on a single modular IT platform with this whitepaper.
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infrastructure, big data, data center, scalability, reduce complexity, data management
    
Dell
Published By: Dell     Published Date: May 18, 2015
This informative guide explores the importance of infrastructure convergence and outlines the key benefits of this strategy, including: - Enhanced data center efficiency - Simplified systems management - And more
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infrastructure, big data, data center, scalability, reduce complexity, data management, remote office, office branch
    
Dell
Published By: Dell     Published Date: Sep 23, 2015
Download this infographic to see how you can protect and control your environment while still supporting business-critical initiatives such as BYOD, big data and cloud computing. This infographic will help you make the case for a solution that keeps you a step ahead of security challenges and allows you to enable the business, not inhibit it.
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Dell
Published By: SAS     Published Date: Apr 16, 2015
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
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SAS
Published By: SAS     Published Date: Apr 16, 2015
As big data shifts away from a more theoretical concept (only adopted by those on the leading edge), the fun can really begin. How do you prepare for more information than you’ve ever collected before? How can you manage this information with the same standards you applied in the past? These are questions that are causing both IT and business sides to start actively preparing for – and implementing – big data.
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SAS
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management, data management
    
SAS
Published By: SAS     Published Date: Nov 04, 2015
Big data evolution: forging new corporate capabilities for the long term is an Economist Intelligence Unit report, sponsored by SAS. It explores how far along companies are on their data journey and how they can best exploit the massive amounts of data they are collecting.
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sas, big data, big data evolution, economist intelligence unit, eiu, data journey, networking, it management, data management, data science
    
SAS
Published By: Cisco     Published Date: Jun 21, 2016
Enterprises are leveraging advancements in what IDC calls “3rd Platform” technologies — cloud, Big Data, mobility, and social — to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
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Cisco
Published By: HP     Published Date: Dec 05, 2014
This assessment is composed of a core set of comparative questions, and the option to be assessed in any of three key areas: computing economics, service delivery and business performance. After a half-decade of cost cutting and shrinking IT budgets, the compute infrastructure that powers the enterprise now is typically inefficient, slow and not optimized for business outcomes. It is better suited to the economic realities of 2010 rather than the rigors of the application workloads, delivery models & business expectations of today driven by cloud, mobility, security and big data megatrends. As a result, there is a significant gap between what businesses expect from technology and what IT can deliver.
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server, performance, efficiency, application, infrastructure, information technology, mobility, cloud, storage, data, speed, software
    
HP
Published By: HP     Published Date: Dec 05, 2014
An IDG Connect survey of 300 enterprise organization decision makers involved in hardware investment decisions reveals the challenges and opportunities that lay between the old style of IT characterized by cost-cutting and infrastructure silos, with the new style of IT driven by the technology trends of Mobility, Cloud and Big Data. These trends have created a significant increase in business expectations that will press IT organizations to rethink their economics, service delivery and business performance. This paper highlights voice-of-the-IT-buyer research results for insight on the challenges and opportunities for IT organizations to drive innovation, transformation and improved delivery against business expectations.
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server, performance, efficiency, application, infrastructure, information technology, mobility, cloud, storage, data, speed, software
    
HP
Published By: HPE     Published Date: Feb 11, 2015
An IDG Connect survey of 300 enterprise organization decision makers involved in hardware investment decisions reveals the challenges and opportunities that lay between the old style of IT characterized by cost-cutting and infrastructure silos, with the new style of IT driven by the technology trends of Mobility, Cloud and Big Data. These trends have created a significant increase in business expectations that will press IT organizations to rethink their economics, service delivery and business performance. This paper highlights voice-of-the-IT-buyer research results for insight on the challenges and opportunities for IT organizations to drive innovation, transformation and improved delivery against business expectations. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
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HPE
Published By: HPE     Published Date: Feb 11, 2015
This assessment is composed of a core set of comparative questions, and the option to be assessed in any of three key areas: computing economics, service delivery and business performance. After a half-decade of cost cutting and shrinking IT budgets, the compute infrastructure that powers the enterprise now is typically inefficient, slow and not optimized for business outcomes. It is better suited to the economic realities of 2010 rather than the rigors of the application workloads, delivery models & business expectations of today driven by cloud, mobility, security and big data megatrends. As a result, there is a significant gap between what businesses expect from technology and what IT can deliver.
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HPE
Published By: HPE     Published Date: Mar 23, 2015
For small and midsize businesses, the realities of a dynamic marketplace and ever-changing customer expectations pose continual challenges and opportunities. Big Data, the cloud and mobility are changing the way information moves and connections are made across the organization, offering productive potential while promising competitive advantage. But adoption of these advanced technologies will require a transformation in the capacities, functions and methods of IT. Download this white paper to learn more.
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HPE
Published By: Dell EMC     Published Date: May 10, 2017
While just about everyone is writing about how IT and the businesses it serves need to be transformed, the actual industry answers to both digital and IT transformation remain unclear at best. Are transformational initiatives all about analytics and big data? Or are they about the move to cloud in all its varieties? Support for mobile? More agile ways of working and developing software? Or are they actually all about crafting teams to promote more proactive dialog between the business and IT? The truth is, of course, digital and IT transformation depend on all of the above and more. They also depend on a resilient infrastructure that’s easily adapted to changing business priorities without requiring long hours spent on maintenance, updates, and addressing problems of service availability. But making all this work clearly and cohesively is far beyond the purview of almost any solution today—whether from a software management perspective or from a hardware infrastructure perspective.
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Dell EMC
Published By: Dell EMC     Published Date: Aug 17, 2017
Databases are often the driving force behind a company’s mission-critical work. They power online stores, confidential records, and customer management systems, so a solution that sustains high levels of database work can be a big advantage as your company grows. We found that the Dell EMC™ VxRail™ P470F hyperconverged system with VMware® vSAN™ could allow you to do more database work than the HPE Hyper Converged 380 (HC 380) with StoreVirtual VSA. The four-node Dell EMC solution processed more orders with faster response times, so more users can fulfill requests quicker—whether they’re placing orders in a store, accessing databases of client info, or adding to company records.
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database, database solution, hyperconverged system, database performance, database optimization
    
Dell EMC
Published By: IBM APAC     Published Date: Jul 09, 2017
In a recent report, Aberdeen's research suggests that Hadoop usage could be a catalyst for an enhanced and well-rounded data strategy. Read on to find out more.
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hadoop, big data, data strategy
    
IBM APAC
Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
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: Jul 25, 2018
As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data. Download now to find out more.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Il est tout aussi facile d'être submergé par l'omniprésent Big Data qu'il l'est pour les organisations d'être découragées par les défis qu'elles rencontrent lorsqu'elles implémentent une initiative en matière de Big Data. Les préoccupations liées aux ensembles de compétences associées au Big Data (et à leur absence), à la sécurité, à l'imprévisibilité des données, aux coûts non viables et à la nécessité d'effectuer une analyse de rentabilité peuvent mettre brutalement fin à une initiative en matière de Big Data.
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Amazon Web Services
Published By: Cisco     Published Date: May 08, 2014
Cisco provide information on the big picture of the challenges involved in meeting the enormous demand for data and the solutions available.
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bandwidth, demand for data, increasing bandwidth, cisco ncs, business technology
    
Cisco
Published By: TreasureData     Published Date: May 14, 2012
Treasure Data is going to change the way that you think about Big Data and Cloud Data Warehousing. We'd like to get your input on how you see Big Data and Cloud Data Warehousing. Please take our 10 question survey and give us your input.
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treasuredata, data warehousing, cloud, big data, solution, data-driven, tables, queries, analytics, infrastructure, storage, billing, visualization, data management
    
TreasureData
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