data architectures

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By: NetApp     Published Date: Jan 03, 2017
One of the most effective ways to address database performance and cost challenges is to modernize the underlying hardware infrastructure. Innovations such as flash storage, converged infrastructure architectures, and sophisticated data management platforms can have a major impact. Learn more in our free eBook: Optimizing Database Storage Performance for Dummies.
Tags : vmware, storage, cloud, quality of service, virtualization
     NetApp
By: Ciena     Published Date: Nov 15, 2016
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."
Tags : packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals
     Ciena
By: Ciena     Published Date: Nov 15, 2016
Healthcare providers use Packet-Optical Networks to meet performance and bandwidth demands. Learn the advantages of Packet-Optical Networks.
Tags : packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals
     Ciena
By: Ciena     Published Date: Nov 15, 2016
Healthcare providers use Packet-Optical Networks to meet performance and bandwidth demands. Learn the advantages of Packet-Optical Networks.
Tags : packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals
     Ciena
By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
Tags : middleware, java, big data, analytics, mobile development
     JBoss Developer
By: JBoss Developer     Published Date: Oct 21, 2016
Digital transformation (DX) is the continuous process by which enterprises adapt to or drive disruptive change by leveraging digital competencies, such as harnessing sensor data or using location, customer profile, and a mobile app to make shopping recommendations. DX reshapes the organization's culture where required; leverages existing processes, systems, and assets; and creates net-new digital capabilities as needed. With DX, there is the need to embrace new business models and new architectures and technologies that will help an enterprise with customer-facing innovation as well as transition existing systems, processes, organization structure, and relationships to support the transformation.
Tags : api, market intelligence, advisory services, digital transformation, data
     JBoss Developer
By: Schneider Electric     Published Date: Oct 17, 2016
In this paper, we address critical questions about the implications of Open Compute on the upstream power infrastructure, including redundancy, availability, and flexibility. We introduce simplified reference designs that support OCP and provide a capital cost analysis to compare traditional and OCP-based designs. We also present an online TradeOff Tool that allows data center decision makers to better understand the cost differences and cost drivers to various architectures.
Tags : 
     Schneider Electric
By: Lenovo and Nutanix     Published Date: Oct 17, 2016
Software-defined infrastructure is no longer the future. It is now. In this hyperconvergence overview, we provide a quick overview of what hyperconvergence is and how data center architectures benefit. You will also see some systems, software examples, and recommendations to get you on your way!
Tags : hyperconvergence, it infrastructure, storage computing, network storage, data efficiency
     Lenovo and Nutanix
By: Lenovo and Intel®     Published Date: Oct 14, 2016
Software-defined infrastructure is no longer the future. It is now. In this hyperconvergence overview, we provide a quick overview of what hyperconvergence is and how data center architectures benefit. You will also see some systems, software examples, and recommendations to get you on your way!
Tags : hyperconvergence, it infrastructure, storage computing, network storage, data efficiency
     Lenovo and Intel®
By: IBM     Published Date: Jul 19, 2016
Data movement and management is a major pain point for organizations operating HPC environments. Whether you are deploying a single cluster, or managing a diverse research facility, you should be taking a data centric approach. As data volumes grow and the cost of compute drops, managing data consumes more of the HPC budget and computational time. The need for Data Centric HPC architectures grows dramatically as research teams pool their resources to purchase more resources and improve overall utilization. Learn more in this white paper about the key considerations when expanding from traditional compute-centric to data-centric HPC.
Tags : ibm, analytics, hpc, big data, software development, enterprise applications, data management
     IBM
By: SnowFlake     Published Date: Jul 08, 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 data centers.
Tags : snowflake, data, technology, enterprise, application, best practices, social media, storage
     SnowFlake
By: NetApp     Published Date: Jun 27, 2016
One of the most effective ways to address database performance and cost challenges is to modernize the underlying hardware infrastructure. Innovations such as flash storage, converged infrastructure architectures, and sophisticated data management platforms can have a major impact. Learn more in our free eBook: Optimizing Database Storage Performance for Dummies.
Tags : netapp, database performance, storage for dummies, infrastructure
     NetApp
By: NetApp     Published Date: Jun 03, 2016
One of the most effective ways to address database performance and cost challenges is to modernize the underlying hardware infrastructure. Innovations such as flash storage, converged infrastructure architectures, and sophisticated data management platforms can have a major impact. Learn more in our free eBook: Optimizing Database Storage Performance for Dummies.
Tags : 
     NetApp
By: CDW - APC     Published Date: Apr 07, 2016
Open Compute has had a significant impact on the thinking about data center design. Until now, the focus has been on systems at the rack level, leaving unanswered questions about the power infrastructure upstream of the rack. In this paper, we address critical questions about the implications of Open Compute on the upstream power infrastructure, including redundancy, availability, and flexibility. We introduce simplified reference designs that support OCP and provide a capital cost analysis to compare traditional and OCP-based designs. We also present an online TradeOff Tool that allows data center decision makers to better understand the cost differences and cost drivers to various architectures.
Tags : data, application performance, data protection, performance optimization, data center, infrastructure management, data management
     CDW - APC
By: Hortonworks     Published Date: Apr 05, 2016
Download this whitepaper to learn how Hortonworks Data Platform (HDP), built on Apache Hadoop, offers the ability to capture all structured and emerging types of data, keep it longer, and apply traditional and new analytic engines to drive business value, all in an economically feasible fashion. In particular, organizations are breathing new life into enterprise data warehouse (EDW)-centric data architectures by integrating HDP to take advantage of its capabilities and economics.
Tags : 
     Hortonworks
By: CDW     Published Date: Apr 04, 2016
Open Compute has had a significant impact on the thinking about data center design. Until now, the focus has been on systems at the rack level, leaving unanswered questions about the power infrastructure upstream of the rack. In this paper, we address critical questions about the implications of Open Compute on the upstream power infrastructure, including redundancy, availability, and flexibility. We introduce simplified reference designs that support OCP and provide a capital cost analysis to compare traditional and OCP-based designs. We also present an online TradeOff Tool that allows data center decision makers to better understand the cost differences and cost drivers to various architectures.
Tags : data, application performance, data protection, performance optimization, data center, infrastructure management, data management
     CDW
By: Rackspace     Published Date: Mar 08, 2016
Watch as industry experts discuss strategies for overcoming design, deployment, and monitoring challenges in a Microsoft Cloud Platform environment. They examine real-life situations in which Rackspace architected and deployed Microsoft Private Cloud at scale, across multiple geographies. You’ll get first-hand what Red Hat has learned along the way, such as how to approach the integration of Database-as-a-Service (DBaaS) functionality, designing resilient architectures and failover, as well as building for scale.
Tags : microsoft private cloud, microsoft server, hyper-v, windows azure, microsoft cloud platform, rackspace, red hat, it management
     Rackspace
By: IBM     Published Date: Feb 22, 2016
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.
Tags : ibm, data, big data, integration, hadoop, enterprise applications, data management
     IBM
By: Eaton     Published Date: Jan 26, 2016
Cloud computing vendors and colocation data centers make every effort to maximize the scalability, efficiency and agility of their data centers. As a result, more and more of them are looking into replacing older, transformer-based centralized power protection schemes with distributed architectures in which uninterruptible power systems (UPSs) reside in the white space (or data hall). This white paper describes the advantages of positioning UPSs in the white space as well as the essential qualities to look for in a white space-ready UPS.
Tags : eaton, data center trends, white space, upss, uninterruptible power systems, data hall, it management, enterprise applications
     Eaton
By: Data Direct Networks     Published Date: Dec 31, 2015
Using high performance parallel storage solutions, geologists and researchers can now incorporate larger data sets and execute more seismic and reservoir simulations faster than ever before, enabling higher fidelity geological analysis and significantly reduced exploration risk. With high costs of exploration, oil and gas companies are increasingly turning to high performance DDN storage solutions to eliminate I/O bottlenecks, minimize risk and costs, while delivering a larger number of higher fidelity simulations in same time as traditional storage architectures.
Tags : 
     Data Direct Networks
By: Juniper Networks     Published Date: Oct 20, 2015
Questions to ask about 10 GBE data center.
Tags : data center, servers, applications, architectures, storage, network
     Juniper Networks
By: Arcserve     Published Date: Jul 15, 2015
We’ll walk you through the driving forces behind these rapidly evolving data protection architectures, the trends you’ll want to be keeping an eye on, what we should all demand of next generation architectures, and the state of the current market landscape.
Tags : 
     Arcserve
By: Cisco     Published Date: May 15, 2015
En matière de stratégie, le débat actuel entre directeurs et responsables IT porte sur l'agilité de l'entreprise et la réactivité du data center. Les entreprises remplacent peu à peu les architectures informatiques cloisonnées par des infrastructures convergentes au sein desquelles les composants de traitement, de réseau et de stockage sont préintégrés. Cette approche est à même de réduire les coûts tout en améliorant la flexibilité et l'agilité des services IT.
Tags : data center, software, networking, ucs, optimization, strategy, cisco
     Cisco
By: Arcserve     Published Date: Apr 22, 2015
We’ll walk you through the driving forces behind these rapidly evolving data protection architectures, the trends you’ll want to be keeping an eye on, what we should all demand of next generation architectures, and the state of the current market landscape.
Tags : network architecture, security, backup, disaster recovery, data loss
     Arcserve
By: Cisco     Published Date: Apr 10, 2015
The data center has gone through many major evolutionary changes over the past several decades, and each change has been defined by major shifts in architectures. The industry moved from the mainframe era to client/server computing and then to Internet computing. In 2011, another major shift began: the shift to a virtual data center. This has been the primary driver in enabling customers to transition to the cloud and ultimately IT as a service. The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and the network.
Tags : cisco, zk research, data center, itaas, migration, cloud computing, applications, servers
     Cisco
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