data architecture

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Published By: IBM     Published Date: Jan 09, 2014
As vendors abandon the UNIX market, IBM continues its commitment to AIX and POWER7 components on Power Systems. And with its recent architectural upgrades, it’s even redefining performance. Read the Clipper Group white paper and see how POWER7’s faster processors accelerate the delivery of applications and services, and improve the utilization of resources.
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power7 system, ibm, power7 servers, mission-critical, data center, it infrastructure, architecture, bladecenter
    
IBM
Published By: BrightCove     Published Date: Nov 18, 2008
With the explosive growth of online video, traditional SEO has taken on a new dimension: video search and discovery. De-mystify the world of video search with a practical framework for video SEO and increase the value of your video content.
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brightcove, video seo, contextual publishing, inbound links, video feeds & sitemaps, metadata, site architecture, emerging techniques
    
BrightCove
Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: Datastax     Published Date: Oct 21, 2019
The majority of enterprises using cloud will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud DBMS, and how they align with core use cases and architectures. Read this Gartner report to learn more about how you can evolve your data management strategy to reflect the latest trends and technologies.
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Datastax
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: Intel     Published Date: Aug 26, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
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Intel
Published By: Intel     Published Date: Sep 25, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
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Intel
Published By: Intel     Published Date: Sep 25, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
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Intel
Published By: StreamSets     Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
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replatforming, age, data, lake, apache, hadoop
    
StreamSets
Published By: HP & Intel     Published Date: Oct 04, 2011
Read this Cloud Security Planning Guide to make sure your cloud computing initiatives avoid these dangerous - and costly - pitfalls.
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HP & Intel
Published By: Fujitsu     Published Date: Feb 06, 2017
Data center infrastructure complexity must be tamed, as mobility, cloud networking and social media demand fast and agile approaches to data delivery. You can overcome these obstacles and improve your data center operations by consolidating your systems and deploying virtualization, using the Fujitsu PRIMEFLEX vShape reference architecture. Get the e-Book.
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it infrastructure, data consolidation, data virtualization, converged infrastructure, primeflex vshape
    
Fujitsu
Published By: Nutanix, Inc.     Published Date: May 02, 2013
Enterprise data-centers are straining to keep pace with dynamic business demands, as well as to incorporate advanced technologies and architectures that aim to improve infrastructure performance, scale and economics. meeting these requirements, however, often requires a complete rethinking of how data centers are designed and managed. Fortunately, many enterprise IT architects are leading cloud providers have already demonstrated the viability and the benefits of a more modern, software-defined data center. This Nutanix white paper examines eight fundamental steps leading to a more efficient, manageable and scalable data center.
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nutanix, data-centers, dynamic business demands, advanced technologies, it management, knowledge management, enterprise applications, data management
    
Nutanix, Inc.
Published By: HP Data Center     Published Date: Apr 16, 2009
This paper examines both the centralized WLAN switch architecture and the optimized WLAN architecture, so that the wireless network choice an organization makes today will protect its investment and allow it to experience the substantial benefits of 802.11 for years to come.
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hp data center, 802.11n, architectural evolution, wlan, lan, scalability, collaboration, wireless
    
HP Data Center
Published By: Epicor     Published Date: Aug 03, 2012
Risk-averse distributors may feel that the safest and simplest IT strategy is to stay with their existing "homegrown" enterprise resource planning (ERP) solution. But just as sticking your money under the mattress offers no protection against inflation, maintaining an outdated system can rob you of a distinct competitive advantage.
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immediacy, erp software, data duplication, data discrepancies, lack of testing, lack of vision, new advances, systems architecture
    
Epicor
Published By: Ruckus Wireless     Published Date: Jul 11, 2018
In an era of "lean IT," the centralized management capabilities of cloud-managed Wi-Fi make it an attractive option to manage and maintain wireless LANs (WLANs) across multiple locations. The decision to move WLAN management to the cloud requires one key assurance: end-to-end security from user devices to the cloud. This means that user data must be protected over the WAN and in the data center. These security measures should not require on-staff WLAN security expertise to manage. And security measures should be largely transparent to users. This paper provides an overview of the security architecture of Ruckus Cloud Wi-Fi, as well as best practices for specific security scenarios.
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Ruckus Wireless
Published By: Cisco     Published Date: Jan 05, 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.
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data center, consolidation, server virtualization, new applications, it management, data management
    
Cisco
Published By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
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data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption
    
Teradata
Published By: Juniper Networks     Published Date: Aug 08, 2017
Business evolution and technology advancements during the last decade have driven a sea change in the way data centers are funded, organized, and managed. Enterprises are now focusing on a profound digital transformation which is a continuous adjustment of technology management resources to deliver business results, guided by rapid review of desired outcomes related to end clients, resources, and budget constraints. These IT transitions are very much part of the competitive landscape, and executed correctly, they become competitive differentiators and enable bottom line growth. These outcomes are driving data centers to virtualization, service-oriented architectures, increased cybersecurity, “big data,” and “cloud,” to name a few of the key factors. This is completely rethinking and retooling the way enterprises handle the applications, data, security, and access that constitute their critical IT resources. In essence, cloud is the new IT.
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Juniper Networks
Published By: FireEye     Published Date: Feb 28, 2014
Organizations face a new breed of cyber attacks that easily thwart traditional defenses. These advanced attacks are targeted. They are persistent. And they are devastatingly effective at breaching your systems and stealing your sensitive data. This paper examines: The limitations of existing security solutions; Several security architectures, including sandbox-based products; An architecture built from the ground up to truly protect against today's advanced attacks.
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fireeye, persistent threats, advanced attacks, data centers, cyber-attacks, speed of detection, accuracy of detection, small businesses
    
FireEye
Published 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.
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middleware, java, big data, analytics, mobile development
    
JBoss Developer
Published By: APC by Schneider Electric     Published Date: Feb 15, 2011
This paper explains some the newer approaches to power distribution including modular power distribution and overhead power busway, and shows their advantages when compared to the legacy approach.
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apc by schneider electric, scalable, reconfigurable, data center, power distribution architecture, power density, power monitoring, power distribution
    
APC by Schneider Electric
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas. Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
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total, cost, ownership, comparison, mongodb, oracle
    
AstuteIT_ABM_EMEA
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
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