big data solution

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Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: Kaseya     Published Date: Aug 25, 2014
Although providing significant business benefits, recent technological advances in mobility, cloud computing and big data have also dramatically complicated the task of managing IT resources. Mitigating the challenges associated with these technologies allows IT organizations to satisfy existing SLAs and leverage technology to support innovative new services which are designed to improve productivity, collaboration and customer satisfaction. Download now to learn about Kaseya's solutions!
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kaseya, hybrid it, business, big data, cloud, slas, technology, it management, business technology
    
Kaseya
Published By: SAS     Published Date: Oct 03, 2018
Because terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats. The scale, complexity and changing nature of intelligence data can make it impossible to stay in front without the aid of technology to collect, process and analyze big data. This paper describes a solution for how this information can be quickly and safely shared with access based on a user's organizational responsibilities and need to know.
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SAS
Published By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: McAfee     Published Date: Apr 16, 2014
Big data holds many answers, but only if an organization has the capability to harness the ever growing amounts of security information. In deploying a SIEM solution to analyze this data, organizations can repel advanced threats in real-time as well as spot the stealthy, dormant threat.
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siem, big security data, security information, advanced threats, security intelligence
    
McAfee
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: OpenPages GRC: Operational risk management in the world of big data - Unlocking the value of loss event data and driving the risk-aware enterprise
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ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions
    
IBM
Published By: IBM     Published Date: Mar 20, 2014
IBM SmartCloud Workload Automation is a sophisticated, cloud-enabled solution that unifies disparate applications and business processes to help organizations achieve superior efficiency and availability while leveraging the flexibility and scalability of cloud computing.
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ibm, ibm software, optimize workloads, the cloud, cloud computing, big data, data management, data center, workload automation, automation solutions, boost visibility, automate processes, it organizations, smart computing, change management, workload management, ease management, optimize processes
    
IBM
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: General: Partially cloudy: the benefits of hybrid deployment models
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ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions, hybrid deployment, deployment models
    
IBM
Published By: IBM     Published Date: Aug 08, 2018
An IBM Cloud configuration completed a big data analytics workload in less time and with greater throughput than an AWS solution
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IBM
Published By: QlikTech     Published Date: Aug 27, 2013
There is an incredible amount of interest in the topic of Big Data at present: for some organisations its use is an operational reality, providing unprecedented ability to store and analyse large volumes of disparate data that are critical to the organization’s competitive success. It has enabled people to identify new opportunities and solve problems they haven’t been able to solve before. Download this whitepaper to learn more.
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big data, qlikview, big data solutions, opportunity, business opportunity, competitive success, store, analyse, operational reality, knowledge management, business technology
    
QlikTech
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
Dell EMC PowerEdge servers with Intel® Xeon® Intel® Platinum processors deliver faster, more reliable performance for virtualization, converged IT, hybrid cloud and big data. Get enhanced automation, scalability and security by upgrading to the new generation of PowerEdge servers. Flexible financing options available through Dell Financial Services. Learn more about Dell EMC enterprise solutions in collaboration with Intel®. Intel Inside®. New Possibilities Outside. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
Dell EMC PowerEdge servers with Intel® Xeon® Intel® Platinum processors deliver faster, more reliable performance for virtualization, converged IT, hybrid cloud and big data. Get enhanced automation, scalability and security by upgrading to the new generation of PowerEdge servers. Flexible financing options available through Dell Financial Services. Learn more about Dell EMC enterprise solutions in collaboration with Intel®. Intel Inside®. Nya möjligheter på utsidan. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
Dell EMC PowerEdge servers with Intel® Xeon® Intel® Platinum processors deliver faster, more reliable performance for virtualization, converged IT, hybrid cloud and big data. Get enhanced automation, scalability and security by upgrading to the new generation of PowerEdge servers. Flexible financing options available through Dell Financial Services. Learn more about Dell EMC enterprise solutions in collaboration with Intel®. Intel Inside®. Para un mundo de nuevas posibilidades. Procesador Intel® Xeon® Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, el logotipo de Intel, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, el logotipo de Intel Inside, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi y Xeon Inside son marcas comerciales de Intel Corporation o de sus filiales en Estados Unidos y/o en otros países.
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ultrabook, celeron, celeron inside, core inside, intel, el logotipo de intel, intel atom, intel atom inside, intel core, intel inside, el logotipo de intel inside, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
Published By: Adverity     Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC). It's full of inspiration, useful tips and actionable insights for you to step up your marketing game. In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal: Knowing what data to capture Understanding customer behaviour Finding your technology solution Ensuring analysis is impartial Optimising website content - especially for your offline users
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: Gemini Data     Published Date: Jan 16, 2018
The increasing reliance on big data platforms for all functions of the organization has been transformative. As these environments mature and data volumes increase, organizations face infrastructure and management scalability challenges. Gemini Enterprise Manager simplifies deployment and management with a turnkey, NoOps appliance, providing simplicity, security, and speed to accelerate the time to value for any analysis use case. Manager allows you to control your Splunk deployment as a single, unified solution deployed on premises, in the cloud or both.
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Gemini Data
Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Dell EMC     Published Date: Nov 09, 2015
Download this whitepaper and learn how planning security for a big data solution is similar to that of other data-centric platforms deployed by many IT departments.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 09, 2015
The webinar is an excellent resource to provide attendees with the kind of comprehensive and collaborative perspective needed when exploring the implementation of big data solutions. The real-world examples provide information that can enable better decisions for designing best-of-breed big data solutions for organizations.
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Dell EMC
Published By: Teradata     Published Date: May 01, 2015
Creating value in your enterprise undoubtedly creates competitive advantage. Making sense of the data that is pouring into the data lake, accelerating the value of the data, and being able to manage that data effectively is a game-changer. Michael Lang explores how to achieve this success in “Data Preparation in the Hadoop Data Lake.” Enterprises experiencing success with data preparation acknowledge its three essential competencies: structuring, exploring, and transforming. Teradata Loom offers a new approach by enabling enterprises to get value from the data lake with an interactive method for preparing big data incrementally and iteratively. As the first complete data management solution for Hadoop, Teradata Loom enables enterprises to benefit from better and faster insights from a continuous data science workflow, improving productivity and business value. To learn more about how Teradata Loom can help improve productivity in the Hadoop Data Lake, download this report now.
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data management, productivity, hadoop, interactive, enterprise
    
Teradata
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