data sources

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By: IBM     Published Date: Sep 02, 2014
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
Tags : ibm, ibm platform computing, save money
     IBM
By: IBM     Published Date: May 20, 2015
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
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     IBM
By: IBM     Published Date: May 20, 2015
IBM Platform Symphony - accelerate big data analytics – This demonstration will highlight the benefits and features of IBM Platform Symphony to accelerate big data analytics by maximizing distributed system performance, fully utilizing computing resources and effectively harnessing the power of Hadoop.
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     IBM
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest. Instead of historical analysis, the goal with streaming analytics is to enable near real-time decision making by letting companies inspect, correlate and analyze data even as it flows into applications and databases from numerous different sources. Streaming analytics allows companies to do event processing against massive volumes of data streaming into the enterprise at high velocity.
Tags : impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics
     Impetus
By: Dell and Intel®     Published Date: Aug 24, 2015
New technologies help decision makers gain insights from all types of data - from traditional databases to high-visibility social media sources. Big data initiatives must ensure data is cost-effectively managed, shared by systems across the enterprise, and quickly and securely made available for analysis and action by line-of-business teams. In this article, learn how Dell working with Intel® helps IT leaders overcome the challenges of IT and business alignment, resource constraints and siloed environments through a comprehensive big data portfolio based on choice and flexibility, redefined economics and connected intelligence.
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     Dell and Intel®
By: Adaptive Computing     Published Date: Feb 27, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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     Hewlett Packard Enterprise
By: Hitachi EMEA     Published Date: Sep 25, 2019
With the right approach, new and growing data sources can help you drive innovation, transform customer experience and create new revenue streams. But all that data can also slow you down.
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     Hitachi EMEA
By: KPMG     Published Date: Jun 10, 2019
Getting complex decisions right across complicated operational networks is the key to optimum performance. Find out how one of the UK’s biggest bus operators is using data and analytics to make better decisions and optimise the use of resources across their network. Read this story to discover: • how data and analytics can transform operational performance • the benefits of using decision-support tools in the middle office • key lessons for getting your plans for digital transformation right.
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     KPMG
By: TIBCO Software     Published Date: Jul 22, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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     TIBCO Software
By: Workday APAC     Published Date: Oct 07, 2019
"Workday provides financial services organizations with the technology foundation they need to spend less time gathering data and more time creating real value. But don’t just take our word for it. Hear from our customers in the banking industry that have used Workday to: Make better business decisions Uncover new sources for growth Become a magnet for top talent "
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     Workday APAC
By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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     Infinidat EMEA
By: Datastax     Published Date: Sep 27, 2019
Smartphones, smart cities, smart homes, smart cars—IoT has triggered a data explosion, and not every enterprise is prepared to handle it. Beyond collecting and analyzing the increasing volume of data, organizations must figure out how to manage the velocity of that data, as well as how to integrate it with multiple data sources. And that’s just scratching the surface of the IoT challenge. To extract business value out of this inpouring of data, and to take full advantage of IoT boosted by new 5G technology, IT organizations must consider five key technologies. In this ebook, you’ll learn about these five technologies and their benefits. To continue to develop and scale your IoT-driven applications, your infrastructure needs to be able to handle sensor data at velocity, keep data close to the edge, maintain 100% uptime, and make it easy to extract business value. The insights you’ll discover in this ebook will not only help you prepare your organization for this reality; they’ll also
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     Datastax
By: Datastax     Published Date: Sep 27, 2019
Every holiday season sets new records for database traffic, and old-guard database architectures simply aren't up to the task. In this white paper, you'll learn how to ensure your enterprise thrives under the year-end pressure—without wasting resources by overprovisioning.
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     Datastax
By: Ricoh     Published Date: Sep 17, 2019
We do business in the age of information. The amount of data, the number of sources, the uses for data, and the routes that it travels have all been growing at an exponential rate. The importance of managing, securing, sharing and measuring information is the core of Information Governance. IG enables organizations to extract the value of information to make better business decisions, but how to go about the massive task is harder to grasp.
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     Ricoh
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
The European Union’s new regulatory framework for data protection laws, the General Data Protection Regulation (GDPR), became enforceable on 25 May, 2018. Under GDPR, organisations have new obligations to improve the security and privacy practices for the personal data they collect and use. With these new obligations comes the potential for heavier fines and penalties. Fortunately, Amazon Web Services (AWS) can help guide your organisation toward compliance under the new requirements. Take advantage of our services, resources, and experts as you navigate these changes.
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     Amazon Web Services APAC
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
Government agencies often look to promote new technology for cost-savings and efficiency, but it does not stop there. The second and third-tier effects of technology can be long lasting for citizens, businesses, and economies. When public institutions adopt the cloud, they experience an internal transformation. Inside an organization, cloud usage drives greater accessibility of data and information sharing, increases worker productivity, and improves resource allocation. The external benefit of the cloud is recognized through a government’s ability to put reclaimed time and resources toward serving citizens. This includes provisioning public services, such as occupational-skills training, quicker and more effective service delivery, a pathway to a more productive workforce, and ultimately, a boost to local development. This whitepaper examines the enterprise-level benefits of the cloud, as well as the residual impact on economic development. The U.S. Economic Development Administration
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     Amazon Web Services APAC
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
Innovation requires many ingredients: a great idea, creativity, persistence, the right data, and technology. Governments around the world are taking advantage of the cloud to reduce cost and transform the way they deliver on their mission. The expectations of an increasingly digital citizenry are high, yet all levels of government face budgetary and human resource constraints. Cloud computing (on-demand delivery of IT resources via the Internet with pay-as-you-go pricing) can help government organizations increase innovation, agility, and resiliency, all while reducing costs. This whitepaper provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.
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     Amazon Web Services APAC
By: ASG Software Solutions     Published Date: Nov 05, 2009
Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.
Tags : asg, cmdb, bsm, itil, bsm, metacmdb, workload automation, wla
     ASG Software Solutions
By: Gigaom     Published Date: Oct 24, 2019
A huge array of BI, analytics, data prep and machine learning platforms exist in the market, and each of those may have a variety of connectors to different databases, file systems and applications, both on-premises and in the cloud. But in today’s world of myriad data sources, simple connectivity is just table stakes. What’s essential is a data access strategy that accounts for the variety of data sources out there, including relational and NoSQL databases, file formats across storage systems — even enterprise SaaS applications — and can make them all consumable by tools and applications built for tabular data. In today’s data-driven business environment, fitting omni-structured data and disparate applications into a consistent data API makes comprehensive integration, and insights, achievable. Want to learn more and map out your data access strategy? Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guests, Eric
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     Gigaom
By: AWS     Published Date: Oct 07, 2019
Imperva, an APN Security Competency Partner, can help protect your application workloads on AWS with the Imperva SaaS Web Application Security platform. The Imperva high-capacity network of globally distributed security services protects websites against all types of DDoS threats, including networklevel Layer 3 and Layer 4 volumetric attacks—such as synchronized (SYN) floods and User Datagram Protocol (UDP) floods—and Layer 7 application-level attacks (including the OWASP Top 10 threats) that attempt to compromise application resources. Harnessing real data about current threats from a global customer base, both the Web Application Firewall (WAF) and DDoS protection, incorporate an advanced client classification system that blocks malicious traffic without interfering with legitimate users. Enterprises can easily create custom security rules in the GUI to enforce their specific security policy. In addition, this versatile solution supports hybrid environments, allowing you to manage th
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     AWS
By: ASME     Published Date: Oct 03, 2019
One of the most frustrating aspects of the measurement of severe pyroshock events is the acceleration offset that almost invariably occurs. Dependent on its magnitude, this can result in large, low-frequency errors in both shock response spectra (SRS) and velocity-based damage analyses. Fortunately, recent developments in accelerometer technology, signal conditioning, and data acquisition systems have reduced these errors significantly. Best practices have been demonstrated to produce offset errors less than 0.25% of Peak-Peak value in measured near-field pyrotechnic accelerations: a remarkable achievement. This paper will discuss the sensing technologies, including both piezoelectric and piezoresistive, that have come together to minimize these offsets. More important, it will document the many other potential contributors to these offsets. Included among these are accelerometer mounting issues, cable and connector sources, signal conditioning amplitude range/bandwidth, and digitizi
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     ASME
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
By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Tags : 
     Hewlett Packard Enterprise
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