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By: NetApp     Published Date: Dec 19, 2013
SAP HANA enables real-time access to mission-critical, business data and thus, revolutionizes the way existing information can be utilized to address ever changing business requirements. This whitepaper describes both the business and technical benefits of implementing the Cisco UCS with NetApp Storage for SAP HANA solution.
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     NetApp
By: IBM     Published Date: Sep 02, 2014
Life Sciences organizations need to be able to build IT infrastructures that are dynamic, scalable, easy to deploy and manage, with simplified provisioning, high performance, high utilization and able to exploit both data intensive and server intensive workloads, including Hadop MapReduce. Solutions must scale, both in terms of processing and storage, in order to better serve the institution long-term. There is a life cycle management of data, and making it useable for mainstream analyses and applications is an important aspect in system design. This presentation will describe IT requirements and how Technical Computing solutions from IBM and Platform Computing will address these challenges and deliver greater ROI and accelerated time to results for Life Sciences.
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     IBM
By: IBM     Published Date: Sep 02, 2014
With tougher regulations and continuing market volatility, financial firms are moving to active risk management with a focus on counterparty risk. Firms are revamping their risk and trading practices from top to bottom. They are adopting new risk models and frameworks that support a holistic view of risk. Banks recognize that technology is critical for this transformation, and are adding state-of-the-art enterprise risk management solutions, high performance data and grid management software, and fast hardware. Join IBM Algorithmics and IBM Platform Computing to gain insights on this trend and on technologies for enabling active "real-time" risk management.
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     IBM
By: IBM     Published Date: Sep 02, 2014
In today’s stringent financial services regulatory environment with exponential growth of data and dynamic business requirements, Risk Analytics has become integral to businesses. IBM Algorithmics provides very sophisticated analyses for a wide range of economic scenarios that better quantify risk for multiple departments within a firm, or across the enterprise. With Algorithmics, firms have a better handle on their financial exposure and credit risks before they finalize real-time transactions. But this requires the performance and agility of a scalable infrastructure; driving up IT risk and complexity. The IBM Application Ready Solution for Algorithmics provides an agile, reliable and high-performance infrastructure to deliver trusted risk insights for sustained growth and profitability. This integrated offering with a validated reference architecture delivers the right risk insights at the right time while lowering the total cost of ownership.
Tags : ibm, it risk, financial risk analytics
     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: Storiant     Published Date: Mar 16, 2015
Read this new IDC Report about how today's enterprise datacenters are dealing with new challenges that are far more demanding than ever before. Foremost is the exponential growth of data, most of it unstructured data. Big data and analytics implementations are also quickly becoming a strategic priority in many enterprises, demanding online access to more data, which is retained for longer periods of time. Legacy storage solutions with fixed design characteristics and a cost structure that doesn't scale are proving to be ill-suited for these new needs. This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model. The report also looks at the role of Storiant and its long-term storage services solution in the strategically important long-term storage market.
Tags : storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market
     Storiant
By: Impetus     Published Date: Feb 04, 2016
This paper explores the top seven must-have features in a Real-Time Streaming Analytics (RTSA) platform in order to help you choose a platform that meets the needs of your organization.
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     Impetus
By: Impetus     Published Date: Feb 04, 2016
This white paper explores strategies to leverage the steady flow of new, advanced real-time streaming data analytics (RTSA) application development technologies. It defines a thoughtful approach to capitalize on the window of opportunity to benefit from the power of real-time decision making now, and still be able to move to new and emerging technologies as they become enterprise ready.
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     Impetus
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: RedPoint     Published Date: Sep 22, 2014
Enterprises can gain serious traction by taking advantage of the scalability, processing power and lower costs that Hadoop 2.0/YARN offers. YARN closes the functionality gap by opening Hadoop to mature enterprise-class data management capabilities. With a lot of data quality functionality left outside of Hadoop 1, and a lot of data inside HDFS originating outside the enterprise, the quality of the data residing in the Hadoop cluster is sometimes as stinky as elephant dung. Some of the topics discussed in this paper include: • The key features, benefits and limitations of Hadoop 1.0 • The benefit of performing data standardization, identity resolution, and master data management inside of Hadoop. • The transformative power of Hadoop 2.0 and its impact on the speed and cost of accessing, cleansing and delivering high-quality enterprise data. Download this illuminating white paper about what YARN really means to the world of big data management.
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     RedPoint
By: MEMSQL     Published Date: Apr 12, 2016
The pace of data is not slowing. Applications of today are built with infinite data sets in mind. As these real-time applications become the norm, and batch processing becomes a relic of the past, digital enterprises will implement memory-optimized, distributed data systems to simplify Lambda Architectures for real-time data processing and exploration.
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     MEMSQL
By: IBM     Published Date: Feb 13, 2015
IBM® has created a proprietary implementation of the open-source Hadoop MapReduce run-time that leverages the IBM Platform™ Symphony distributed computing middleware while maintaining application-level compatibility with Apache Hadoop.
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     IBM
By: Dell and Intel®     Published Date: Aug 24, 2015
Business need: Merkle needed a scalable, cost-effective way to capture and analyze large amounts of structured and unstructured consumer data for use in developing better marketing campaigns for clients. Solution: The company deployed a Dell and HadoopTM cluster based on Dell and Intel® technologies to support a new big data insight solution that gives clients a unified view of customer data. Benefits: [bullets for the below points] • Partnership with Dell and Intel® leads to new big data solution • Cluster supports the Foundational Marketing Platform, a new data insight solution • Merkle can find patterns in big data and create analytical models that anticipate consumer behavior • Organization cuts costs by 60 percent and boosts processing speeds by 10 times • Solution provides scalability and enables innovation
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     Dell and Intel®
By: GridGain     Published Date: Mar 10, 2015
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology.
Tags : gridgain, saas, saas perfomance and scalability, in memory computing, data fabric, paas for saas, data grid, real-time streaming, hadoop
     GridGain
By: Kx Systems     Published Date: Jan 16, 2015
?Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. Like all such products, it is especially powerful when it comes to supporting queries and analytics. However, unlike other products in this domain, kdb+ is particularly good (both in terms of performance and functionality) at processing, manipulating and analysing data (especially numeric data) in real-time, alongside the analysis of historical data. Moreover, it has extensive capabilities for supporting timeseries data. For these reasons Kx Systems has historically targeted the financial industry for trading analytics and black box trading based on real-time and historic data, as well as realtime risk assessment; applications which are particularly demanding in their performance requirements. The company has had significant success in this market with over a hundred major financial institutions and hedge funds deploying its technology. In this paper, however, we wa
Tags : kx systems, kdb+, relational database
     Kx Systems
By: snowflake     Published Date: Jun 09, 2016
THE CHALLENGE: DATA SOLUTIONS CAN’T KEEP PACE WITH DATA NEEDS Organizations are increasingly dependent on diff erent types of data to make successful business decisions. But as the volume, rate, and types of data expand and become less predictable, conventional data warehouses cannot consume all this data eff ectively. Big data solutions like Hadoop increase the complexity of the environment and generally lack the performance of traditional data warehouses. This makes it difficult, expensive, and time-consuming to manage all the systems and the data.
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     snowflake
By: Cask     Published Date: Jun 28, 2016
A recent Gartner survey on Hadoop cited the two biggest challenges in working with Hadoop: “Skills gaps continue to be a major adoption inhibitor for 57% of respondents, while deciding how to get value from Hadoop was cited by 49% of respondents.” Cask is the company that makes building and deploying big data apps easy, allowing for 5 times faster time to value. To find out more, read about Cask Hydrator, a self-service, open source framework that lets data scientists easily develop and operate data pipelines using a graphical interface.
Tags : cask hydrator, hadoop, gartner survey, self-service data lakes
     Cask
By: BitStew     Published Date: May 26, 2016
The heaviest lift for an industrial enterprise is data integration, the Achilles’ heel of the Industrial Internet of Things (IIoT). Companies are now recognizing the enormous challenge involved in supporting Big Data strategies that can handle the data that is generated by information systems, operational systems and the extensive networks of old and new sensors. To compound these issues, business leaders are expecting data to be captured, analyzed and used in a near real-time to optimize business processes, drive efficiency and improve profitability. However, integrating this vast amount of dissimilar data into a unified data strategy can be overwhelming for even the largest organizations. Download this white paper, by Bit Stew’s Mike Varney, to learn why a big data solution will not get the job done. Learn how to leverage machine intelligence with a purpose-built IIoT platform to solve the data integration problem.
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     BitStew
By: Cisco EMEA     Published Date: Jun 19, 2019
Imagine if you could see deep into the future. And way back into the past, both at the same time. Imagine having visibility of everything that had ever happened and everything that was ever going to happen, everywhere, all at once. And then imagine processing power strong enough to make sense of all this data in every language and in every dimension. Unless you’ve achieved that digital data nirvana (and you haven’t told the rest of us), you’re going to have some unknowns in your world. To find out more download this whitepaper today.
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     Cisco EMEA
By: Cisco EMEA     Published Date: Jun 19, 2019
Invest in a network that can grow over time, so you can add features and functionality. Make sure your switches and routers are easy to install, use, and manage.
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     Cisco EMEA
By: Cisco EMEA     Published Date: Mar 26, 2019
Imagine if you could see deep into the future. And way back into the past, both at the same time. Imagine having visibility of everything that had ever happened and everything that was ever going to happen, everywhere, all at once. And then imagine processing power strong enough to make sense of all this data in every language and in every dimension. Unless you’ve achieved that digital data nirvana (and you haven’t told the rest of us), you’re going to have some unknowns in your world. In the world of security, unknown threats exist outside the enterprise in the form of malicious actors, state-sponsored attacks and malware that moves fast and destroys everything it touches. The unknown exists inside the enterprise in the form of insider threat from rogue employees or careless contractors – which was deemed by 24% of our survey respondents to pose the most serious risk to their organizations. The unknown exists in the form of new devices, new cloud applications, and new data. The unk
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     Cisco EMEA
By: Cisco EMEA     Published Date: Mar 26, 2019
For more than a decade, Cisco's security reports have been a definitive source of intelligence for security professionals interested in the state of the global industry. These comprehensive reports provided detailed accounts of the threat landscape and their organisational implications. Today, Cisco is publishing its second report for 2019: Defending against today's critical threats. This white paper looks back at the threat landscape over the past year, highlighting some of the key cyber security incidents during that timeframe. However, this isn't just another retrospective report, fondly looking back at events that have already come to pass.
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     Cisco EMEA
By: Cisco EMEA     Published Date: Mar 26, 2019
Most organizations have invested, and continue to invest, in people, processes, technology, and policies to meet customer privacy requirements and avoid significant fines and other penalties. In addition, data breaches continue to expose the personal information of millions of people, and organizations are concerned about the products they buy, services they use, people they employ, and with whom they partner and do business with generally. As a result, customers are asking more questions during the buying cycle about how their data is captured, used, transferred, shared, stored, and destroyed. In last year’s study (Cisco 2018 Privacy Maturity Benchmark Study), Cisco introduced data and insights regarding how these privacy concerns were negatively impacting the buying cycle and timelines. This year’s research updates those findings and explores the benefits associated with privacy investment. Cisco’s Data Privacy Benchmark Study utilizes data from Cisco’s Annual Cybersecurity Benchma
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     Cisco EMEA
By: 3D Systems     Published Date: May 15, 2019
La tecnologia di sinterizzazione laser selettiva (SLS) è al centro dell'attenzione e in forte crescita nella produzione di massa personalizzata e nella prototipazione funzionale. Le giuste tecnologie additive, i materiali e le finiture stanno trasformando il modo di produrre. La manifattura termoplastica diretta digitale offre una qualità eccezionale che apre la porta a nuovi parametri di design non attuabili con il tradizionale stampaggio a iniezione. La produzione additiva di termoplastici evita anche i lunghi tempi di consegna e gli investimenti iniziali negli stampi e nelle attrezzature per lo stampaggio a iniezione. Se si misurano i pezzi finiti sui tre parametri: qualità, "time to market" e costo per metro cubo, in molte situazioni l'SLS industriale porta a una soluzione globalmente migliore.
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     3D Systems
By: Emarsys - APAC     Published Date: Jun 12, 2019
It’s time to look ahead. We have outlined 5 predictions that we believe marketers should be preparing for in the next 5 years. In this whitepaper, we’ll cover how: • Blockchain will become a greater core component of marketing. • Display advertising as we know it will finally die. • Cross-device identification will become a necessary part of omnichannel marketing. • Voice re-emerges as a distinct channel and internet interface. • All marketing will be done in real time.
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     Emarsys - APAC
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