big data

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Published By: Chatsworth     Published Date: Feb 19, 2016
It is time to finally get over the misconceptions generated by the loud and misleading rhetoric regarding the superior efficiencies of close-coupled and liquid cooled server cabinet solutions, as well as the supposed limits on power densities that can be effectively cooled by air. Passive air cooling can successfully dissipate as much heat as can be generated by commercial servers that can actually fit in a 42-45 U cabinet, and in fact more than most close-coupled and liquid-cooled solutions. In addition, air-cooled solutions that rely on complete isolation between supply air and return air are more efficient than most close-coupled systems and provide access to lower data center cooling costs.
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Chatsworth
Published By: Chatsworth     Published Date: May 10, 2016
The modern data center has changed. There are new demands around cloud computing, big data and infrastructure efficiency. This change in the data center is being driven by more users, more data and a lot more reliance on the data center itself. With private cloud technologies and the rapid growth in data leading the way within many technological categories (the Internet of Things), working with the right data center optimization technologies has never been more important. In this white paper, we explore new concepts around data center demand, where energy efficiency and cooling optimization fit in and modern best practices around your data center.
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chatsworth, data center optimization
    
Chatsworth
Published By: Verne Gloabal     Published Date: Mar 30, 2016
Today’s CIO faces a host of challenges and new trends. Budgets are tight and in many cases decreasing. At the same time, IT is becoming more strategic as the amount of data created is exploding and the value of accessing that data in real time is continuously increasing. Much of this data must be mined and acted upon instantaneously while it is still of value, requiring the application of bigger and more powerful data centers.
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Verne Gloabal
Published By: CommScope     Published Date: Apr 15, 2016
The data center has assumed a new, more prominent role as a strategic asset within the organization. Increasing capacity demands and the pressure to support the “always-on” digital business are forcing data centers to adapt, evolve, and respond at an increasingly accelerated rate. Cloud, mobility, IoT, big data – these and other interrelated trends are putting enormous pressure on the modern data center. To keep pace, today’s physical infrastructure has become vastly more complex, interconnected, and performance-driven than a decade ago.-
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CommScope
Published By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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Cisco EMEA
Published By: Here Technologies     Published Date: Dec 05, 2018
Discover the four big trends in fleet management being powered by location services. Trends to help you differentiate your solutions and enable transportation companies to overcome their logistical challenges and increase asset utilization. Discover what’s making the biggest impact, together with how, by integrating some of these trends into your solutions, you can position yourself as the service provider of choice in fleet and transportation management solutions. And find out how HERE is delivering features, from comprehensive mapping capabilities and real-time location data, to truck-specific attributes, to help you do just that. Download the eBook now
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location data, transport & logistics, location services
    
Here Technologies
Published By: Sage     Published Date: Jan 04, 2019
The General Data Protection Regulation (GDPR) is the new legal framework that will come into effect on the 25th of May 2018 in the European Union. EU regulations have direct effect in all EU member states, meaning the GDPR replaces the current Data Protection Directive and applies to all EU member states. The GDPR’s focus is the protection of personal data. In fact, GDPR is one of the biggest shakeups ever seen affecting how data relating to an individual should be handled—and it affects not just companies but any individual, corporation, public authority, agency or other body that processes the personal data of individuals based in the EU. As gatekeepers and processors of personal data, HR and People teams have a crucial role to play in preparing for this step change. The rules on how data is kept and used will become much more stringent, and it’s vital that HR and People teams become more transparent, communicating to employees exactly how their data is processed. In a world wh
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Sage
Published By: NTT Data APAC     Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include: - Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives - Solution lab for Co-Innovation and Proof of Concepts - Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks - Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption - Flexible Delivery - Rapid Development Factory, Shared Services Find more details in this deck.
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NTT Data APAC
Published By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Oracle     Published Date: Jan 03, 2019
The transition to autonomous is all around. Its capability for problem-solving has never been seen before. Its potential for creating business value from algorithms and data makes it the next big frontier for business leaders. Two industry experts have discussed Oracle Autonomous Data Warehouse Cloud and what it can help organisations achieve. Talking about innovation,security and efficiency, they put the case for an autonomous future. Watch the webinar.
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Oracle
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
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Workday
Published By: Fujitsu America, Inc.     Published Date: Oct 22, 2018
Crime overall is decreasing, but chaotic events such as extreme weather, domestic terrorist attacks, gun violence, and opioid-related emergencies are increasing, requiring highly coordinated response protocols. From raucous inner cities to sleepy suburbs, the scope and nature of these threats demand a new way of thinking and acting– a new, frictionless collaboration among agencies, departments, and vendor partners. This is the next phase of digital age public safety. As more public safety leaders get introduced to sophisticated surveillance and big data technologies, they realize the benefits are within reach. Find out how by downloading today!
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smart mobility, technology solutions, integrated management
    
Fujitsu America, Inc.
Published By: Pure Storage     Published Date: Dec 05, 2018
In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights for the massive amounts of data. Many organization are now using AI for leading-edge research or as a competitive advantage. This Datanami white paper not only covers the societal impacts of deep learning, but it also discusses why traditional storage can't meet deep learning needs and how having the right data hub can help deliver data throughput for AI.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.
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Pure Storage
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The world runs on IT operations. When new digital experiences delight customers, innovative business models disrupt industries, and big data makes organizations smarter than ever, it’s because of your success in supporting the complex, dynamic infrastructure and apps that power them.
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
400+ IT professionals reveal what’s next for workload automation How are today’s leading companies using workload automation to drive their most important IT initiatives? Find out in this detailed report summary from analyst firm Enterprise Management Associates (EMA). You’ll learn how the role of workload automation is evolving, including: The rise of predictive analytics in WLA Surprising stats on the frequency and ease of migration How big data and cloud impact WLA The use of containers and micro services architectures Workload automation is changing fast. Keep up with the latest analyst research – download the report.
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: Veeam '18     Published Date: Dec 04, 2018
"This 5-minute, easy-to-read document explains why organizations need to protect Office 365 data. This report will teach you: The big understanding between Microsoft’s Office 365 responsibility and the IT organization’s responsibility 6 reasons why backing up Office 365 is critical Who is in control of Office 365 data"
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Veeam '18
Published By: Veeam '18     Published Date: Dec 04, 2018
"Ransomware is top of mind for many organizations’ leaders as their organizations face the potentially disastrous aftermath of successful attacks. ESG has surveyed IT leaders and organizations to find out how big of a problem ransomware is, what are the business consequences of downtime caused by these attacks, and which are some of the best practices and capabilities organizations need to apply to be protected. According to the ESG research, nearly two-thirds of surveyed organizations across North America and Western Europe experienced a ransomware attack at some point last year, with 22% reporting weekly attacks. The attacks have helped make cybersecurity a target of IT investment, and spending is accelerating. What’s needed to fend off this epidemic are best practices and tools to: Prevent or at least mitigate attacks Protect data and backup data Recover reliably"
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Veeam '18
Published By: MIT Academy of Engineering, Pune     Published Date: Mar 05, 2013
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
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MIT Academy of Engineering, Pune
Published By: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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SAP
Published By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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SAP
Published By: HPE APAC     Published Date: Jun 16, 2017
The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility. Read on to find out more.
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HPE APAC
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