applications

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By: NetApp     Published Date: Dec 13, 2013
FlexPod Select with Hadoop delivers enterprise class Hadoop with validated, pre-configured components for fast deployment, higher reliability and smoother integration with existing applications and infrastructure.  These technical reference architectures optimize storage, networking, and servers with Cloudera and Hortonworks distributions of Hadoop. Leverage FlexPod Select with Hadoop to help store, manage, process and perform advanced analytics on your multi-structured data.   Tuning parameters, optimization techniques among other Hadoop cluster guidelines  are provided.
Tags : flexpod with hadoop, enterprise data, storage infrastructure, massive amounts of data
     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: May 20, 2015
Join IBM and Nuance Communications Inc. to learn how Nuance uses IBM Elastic Storage to improve the power of their voice recognition applications by managing storage growth, cost and complexity while increasing performance and data availability. View the webcast to learn how you can: · Lower data management costs through policy driven automation and tiered storage management · Manage and increase storage agility through software defined storage Remove data related bottlenecks to deliver application performance
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     IBM
By: IBM     Published Date: Sep 16, 2015
Building applications for handling big data requires laser-like focus on solutions that allow you to deliver scalable, reliable and flexible infrastructure for fast-growing analytics environments. This paper provides 6 best practices for selecting the “right” infrastructure—one that is optimized for performance, flexibility and long-term value.
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     IBM
By: TIBCO     Published Date: Nov 09, 2015
As one of the most exciting and widely adopted open-source projects, Apache Spark in-memory clusters are driving new opportunities for application development as well as increased intake of IT infrastructure. Apache Spark is now the most active Apache project, with more than 600 contributions being made in the last 12 months by more than 200 organizations. A new survey conducted by Databricks—of 1,417 IT professionals working with Apache Spark finds that high-performance analytics applications that can work with big data are driving a large proportion of that demand. Apache Spark is now being used to aggregate multiple types of data in-memory versus only pulling data from Hadoop. For solution providers, the Apache Spark technology stack is a significant player because it’s one of the core technologies used to modernize data warehouses, a huge segment of the IT industry that accounts for multiple billions in revenue. Spark holds much promise for the future—with data lakes—a storage repo
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     TIBCO
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
The emergence of YARN for the Hadoop 2.0 platform has opened the door to new tools and applications that promise to allow more companies to reap the benefits of big data in ways never before possible with outcomes possibly never imagined. By separating the problem of cluster resource management from the data processing function, YARN offers a world beyond MapReduce: less encumbered by complex programming protocols, faster, and at a lower cost. Some of the topics discussed in this paper include: • Why is YARN important for realizing the power of Hadoop for data integration, quality and management? • Benchmark results of MapReduce vs. Pig vs. visual “data flow” design tools • The 3 key features of YARN that solve the complex problems that prohibit businesses from gaining maximum benefit from Hadoop. Download this paper to learn why the power of Hadoop 2.0 lies in enabling applications to run inside Hadoop, without the constraints of MapReduce.
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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: Nov 14, 2014
Platform Symphony is an enterprise-class server platform that delivers low-latency, scaled-out MapReduce workloads. It supports multiple applications running concurrently so that organizations can increase utilization across all resources resulting in a high return on investment.
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     IBM
By: Intel     Published Date: Aug 06, 2014
Powering Big Data Workloads with Intel® Enterprise Edition for Lustre* software The Intel® portfolio for high-performance computing provides the following technology solutions: • Compute - The Intel® Xeon processor E7 family provides a leap forward for every discipline that depends on HPC, with industry-leading performance and improved performance per watt. Add Intel® Xeon Phi coprocessors to your clusters and workstations to increase performance for highly parallel applications and code segments. Each coprocessor can add over a teraflops of performance and is compatible with software written for the Intel® Xeon processor E7 family. You don’t need to rewrite code or master new development tools. • Storage - High performance, highly scalable storage solutions with Intel® Lustre and Intel® Xeon Processor E7 based storage systems for centralized storage. Reliable and responsive local storage with Intel® Solid State Drives. • Networking - Intel® True Scale Fabric and Networking technologies – Built for HPC to deliver fast message rates and low latency. • Software and Tools: A broad range of software and tools to optimize and parallelize your software and clusters. Further, Intel Enterprise Edition for Lustre software is backed by Intel, the recognized technical support providers for Lustre, and includes 24/7 service level agreement (SLA) coverage.
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     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
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises datacenters.
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     snowflake
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 19, 2018
"Enterprises depend on data to improve customer interaction, accelerate product development and run the back office. ?Is infrastructure complexity holding your applications back? ? Do your applications have instant access to data?"
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     Hewlett Packard Enterprise
By: Akamai Technologies     Published Date: Jun 14, 2018
The moats and castle approach is an antiquated, yet a common way, of protecting the enterprise network. This paper describes a new way to protect the enterprise which hides applications from the Internet, outside of the firewall, with zero open ports and a minimal attack surface.
Tags : security, enterprise security, eaa
     Akamai Technologies
By: Akamai Technologies     Published Date: Jun 14, 2018
IT complexity has rapidly grown with more applications, users, and infrastructure needed to service the enterprise. Traditional remote access models weren’t built for business models of today and are unable to keep up with the pace of change. Read this paper to understand how remote access can be redefined to remove the complexity, meet end-user expectation and mitigate network security risks.
Tags : security, multi-factor authentication, network security risks
     Akamai Technologies
By: Akamai Technologies     Published Date: Jun 14, 2018
"Traditional remote access technologies—like VPNs, proxies, and remote desktops—provide access in much the same way they did 20 years ago. However, new and growing business realities—like a growing mobile and distributed workforce—are forcing enterprises to take a different approach to address the complexity and security challenges that traditional access technologies present. Read 5 Reasons Enterprises Need a New Access Model to learn about the fundamental changes enterprises need to make when providing access to their private applications."
Tags : vpn, proxies, security, security breach, technology
     Akamai Technologies
By: Akamai Technologies     Published Date: Jun 14, 2018
"High-profile cyber attacks seem to occur almost daily in recent years. Clearly security threats are persistent and growing. While many organizations have adopted a defense-in-depth strategy — utilizing anti-virus protection, firewalls, intruder prevention systems, sandboxing, and secure web gateways — most IT departments still fail to explicitly protect the Domain Name System (DNS). This oversight leaves a massive gap in network defenses. But this infrastructure doesn’t have to be a vulnerability. Solutions that protect recursive DNS (rDNS) can serve as a simple and effective security control point for end users and devices on your network. Read this white paper to learn more about how rDNS is putting your enterprise at risk, why you need a security checkpoint at this infrastructural layer, how rDNS security solutio Read 5 Reasons Enterprises Need a New Access Model to learn about the fundamental changes enterprises need to make when providing access to their private applications.
Tags : rdns, dns, anti-virus, security, network defense
     Akamai Technologies
By: Akamai Technologies     Published Date: Jun 14, 2018
"Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy. One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware. "
Tags : dns, rdns, security, zero trust security, malware, data, network security
     Akamai Technologies
By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"The Enterprise Strategy Group put HPE SimpliVity hyperconverged infrastructure through its paces in a series of hands-on performance and stress tests simulating real-world configurations and load conditions. Read this report to learn how an HPE SimpliVity infrastructure: Ran nine workloads simultaneously, with an average response time across all applications of 3.9ms Showed little to no performance impact as a virtual controller, drive, and node were systematically failed on a two-node cluster."
Tags : hyperconverged, infrastructure, simplivity
     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
We’re in the era of hybrid cloud, an integrated combination of public and private cloud environments. Most companies moving into the public cloud today are making strategic decisions about which applications should go to the cloud and which should stay on-premises. Get acquainted with hybrid cloud management strategies and solutions, and learn what critical components must be addressed as you plan your hybrid cloud environment.
Tags : private cloud, hybrid cloud
     Hewlett Packard Enterprise
By: Akamai Technologies     Published Date: Apr 13, 2018
Retailers competing in the high-pressure world of ecommerce have many challenges. Not only do you need to provide an interesting and compelling shopping experience, you also need to make that experience fast and reliable. But this doesn't need to be difficult - check out our best practices guide that includes: Getting started with performance testing The common challenges faced by online retailers Testing checklist Top ecommerce business metrics Who should be on your testing team The different types of performance tests Testing in production vs. in the lab Security and performance testing
Tags : performance, testing, retail, websites, applications, retailers, ecommerce
     Akamai Technologies
By: Akamai Technologies     Published Date: Apr 13, 2018
Today every business is focused on their customers, and finding ways to better understand and serve them with differentiated digital experiences. With all of the choices available, users have become highly demanding, and quickly lose patience and trust when web and mobile app experiences are poor. Today’s digital user demands rich, engaging content that is fresh, personalized, and fast. If your websites and mobile apps can’t deliver, they’re gone. This eBook will give you insight into: Monitor how users interact with your online applications by leveraging real user data Optimize behaviors that drive the most revenue impact across user locations and devices Validate whether the optimizations resulted in desired business outcomes using real-world situations
Tags : monitor, optimize, validate, digital, experiences
     Akamai Technologies
By: Akamai Technologies     Published Date: Apr 25, 2018
APIs are increasingly powering mobile applications, websites, single-page applications, and data sharing. APIs connect across business and technology boundaries—meaning every enterprise has good reason to be developing, delivering, and consuming APIs. Learn more about: How to overcome API latency & traffic spike challenges Options to ensure 100% availability How to design a security stack for your APIs
Tags : api, performance, security, developing, applications, data
     Akamai Technologies
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