data architecture

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By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
Tags : data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management, data center
     Teradata
By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, business technology
     Teradata
By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
Tags : teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility, data management
     Teradata
By: Red Hat     Published Date: Nov 30, 2015
A step-by-step guide for adopting software-defined storage as part of a practical, proactive strategy for managing enterprise data. Flexibility is inherent in this technology, and now more than ever, a flexible IT architecture might be the key to facing the once unthinkable challenges of big data.
Tags : software-defined storage, enterprise data, it architecture, big data, enterprise applications
     Red Hat
By: Storiant     Published Date: Apr 27, 2015
Emerging storage vendors offer data center managers and storage administrators new antidotes for their storage challenges. This research details five companies that provide innovative storage capabilities via new architecture and deployment methods, and looks back at two past Cool Vendors.
Tags : storage technologies, it storage vendors, storiant, storage infrastructures, automated storage
     Storiant
By: NetApp     Published Date: Mar 05, 2018
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, flash storage, data management, cost challenges
     NetApp
By: MobileIron     Published Date: Mar 21, 2017
Over the past few years, organizations have used a variety of tools and technologies to enable basic mobile device management (MDM) and essential apps like email and calendar. But those capabilities are inadequate for companies that want to move beyond the basics and transform their business processes by securely moving apps and data to the cloud. For AirWatch customers, this means they should start evaluating leading enterprise mobility management (EMM) platforms like MobileIron in order to achieve their mobile transformation goals. Our platform is 100% focused on building today’s modern enterprise architecture, which is quickly shifting core business processes away from legacy technologies and standardizing on mobile devices and cloud services.
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     MobileIron
By: Dell EMC     Published Date: Aug 22, 2017
Dell EMC Isilon, the #1 Scale-Out NAS platform, continues to transform the way organizations are deploying, protecting and managing their fast growing unstructured data. This session by Eric Seidman, Senior Manager, Product Marketing, Dell EMC will introduce attendees to the new generation of Isilon Scale-Out NAS family. Also covered will be a deep dive into the new Isilon architecture and a closer look at the six new Isilon systems – powered by the new OneFS 8.1 – which were announced at Dell EMC World 2017. Attend this session to learn how Isilon’s latest enhancements can revolutionize your business.
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     Dell EMC
By: Attunity     Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems. To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC. Read this book to understand: ? The rise of data lake, streaming and cloud platforms ? How CDC works and enables these architectures ? Case studies of leading-edge enterprises ? Planning and implementation approaches
Tags : optimize customer service
     Attunity
By: IBM     Published Date: May 17, 2016
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations. 
Tags : ibm, business analytics, business intelligence, data, analytics, database
     IBM
By: IBM     Published Date: May 16, 2016
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
Tags : ibm, tdwi, checklist report, data warehousing, cloud, analytics, analytic architecture, warehousing, data management
     IBM
By: IBM     Published Date: May 16, 2016
The data-driven organization is the new benchmark for success. Firms that harness data to dictate strategic and tactical decisions companywide make more informed business plans, better optimize operations, improve customer interactions, and provide competitive edge. To achieve these benefits, organizations increasingly see data refinement - transforming raw data from various sources into relevant and actionable information and delivering it through self - service access to any user who needs it - as the path toward success by helping break though immature processes and legacy systems. However, data refinement only functions as well as the strategies and approaches behind it. Organizations that do not understand the right way to embrace refinement will fail to catch up to competitors that have mastered the correct approach.
Tags : ibm, forrester, data-driven organization, data, analytics, analytic architecture, data management
     IBM
By: Lenovo - APAC     Published Date: Oct 11, 2018
Business expectations and demands on the data center are increasing and the impact on today’s data centers is staggering. Organisations that can move quickly to leverage these new opportunities will find themselves in an advantageous position relative to their competitors. But time is NOT on your side! If your IT team often feel that they’re always in catch-up mode because it is difficult to quantify IT contributions, it is time to understand the benefit of hyperconverged infrastructure. Download this premium guide to understand how HCI can • Provide the resilience, scalability and performance to run all your applications without compromise. • Design the data center as a fluid resource that can immediately adapt to the evolving needs of the business. • Enable agility with scale-out architecture that eliminates the need to rip and replace for seamless growth and scale.
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     Lenovo - APAC
By: EMC Corporation     Published Date: Feb 13, 2015
XtremIO all-flash-arrays (AFAs) have redefined everything you know about SQL Server database infrastructures. Through a ground-breaking, fresh approach to storage design, XtremIO is uniquely engineered for SQL Server database requirements utilizing a powerful and vastly simplified scale-out performance architecture, with in-memory always-on compression, deduplication and space efficient copy services enabling application acceleration, consolidation and agility.
Tags : all-flash-arrays, database infrastructures, sql server, database requirements, application acceleration, data management
     EMC Corporation
By: Blue Coat Systems     Published Date: Jul 05, 2011
A new generation of WAN optimization solutions can help network managers optimize consolidated data architectures internally, but also harness the power of the internet to reshape the way businesses leverage new technologies.
Tags : blue coat, wan optimization, secure web gateway, application performance monitoring, cindy borovick, virtualization, idc, server, data center
     Blue Coat Systems
By: TIBCO     Published Date: Apr 08, 2013
As the volume of available data increases, and we have new ways of extracting insights from data, it is valuable to take a step back and examine the impact of these insights on integration and company actions. Join us for this webinar and learn how you can use big data in your organization.
Tags : big data, integration, architecture, database, data warehousing, operations management
     TIBCO
By: NetApp     Published Date: Sep 24, 2013
"Storage system architectures are moving away from monolithic scale-up approaches and adopting scale-out storage – providing a powerful and flexible way to respond to the inevitable data growth and data management challenges in today’s environments. With extensive data growth demands, there needs to be an increase in the levels of storage and application availability, performance, and scalability. Access this technical report that provides an overview of NetApp clustered Data ONTAP 8.2 and shows how it incorporates industry-leading unified architecture, non-disruptive operations, proven storage efficiency, and seamless scalability."
Tags : storage infrastructure, clustered storage, technology, scalability, application, storage solution, non-disruptive operations, storage, business technology, data center
     NetApp
By: NetApp     Published Date: Aug 14, 2015
Taking advantage of a variety of private and public cloud services.
Tags : data, backup, recovery, protection, cloud, architecture
     NetApp
By: NetApp     Published Date: Sep 21, 2017
Introduction to Guaranteed Quality of Service is an in-depth account of the crucial importance of incorporating Quality of Service (QoS) technology within data storage architecture, outlining how QoS is the critical factor in enabling dependable storage performance for business-critical applications in a multi-tenant or enterprise infrastructure.
Tags : netapp, database performance, flash storage, data management, cost challenges, service
     NetApp
By: Lookout     Published Date: Dec 11, 2018
There are three key statements enterprises must hear in order to move forward in protecting corporate resources from leakage and attack: The perimeter has disappeared. Legacy security technologies do not work. Devices cannot be trusted. A new security architecture is needed to protect data as employees and devices connect to corporate resources in the cloud, all over the world. That architecture is post-perimeter security. Read this whitepaper to: Learn why perimeter security is not longer viable Understand the new, necessary security architecture: post-perimeter security Learn how phishing attacks are thwarting traditional firewalls Find out how Lookout enables enterprises to embrace post-perimeter security in their own environments
Tags : 
     Lookout
By: Commvault ABM Oct     Published Date: Feb 15, 2018
Enterprises and managed service providers (MSPs) have some similar challenges in the realm of data protection. Both have to deal with expansive environments—with enterprises protecting distributed offices/geographies, and MSPs protecting many independent subscribers. Both also have been seeing production data storage and secondary protection storage demands rising. Enterprises and MSPs alike should therefore be looking for data protection architectures that have scale-out capabilities built into their core foundation.
Tags : data protection, msps, data storage, scale out data protection
     Commvault ABM Oct
By: Schneider Electric     Published Date: Feb 12, 2018
Internet use is trending towards bandwidth-intensive content and an increasing number of attached “things”. At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available.
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     Schneider Electric
By: Cohesity     Published Date: Oct 02, 2018
Until recently, Manhattan Associates had used a traditional secondary storage solution to manage its large and rapidly expanding data footprint of ~1PB. Designed for traditional workflows, the company’s IT team realized it had become cost prohibitive to add features to their existing environment to support their VM level backups. Like most traditional storage options, the existing solution did not scale-out linearly, and complicated the environment by creating silos. With Cohesity’s scale-out architecture, the team was able to start small and grow their Cohesity environment on the go, yet keep it unified and simple. See how Manhanttan Associates achieved operational efficiency and lowered their TCO by supporting VM data protection, supporting native integration with the public cloud and providing simple converged solution for data protection, target storage and files. Get the case study.
Tags : case, study, manhattan, associates, consolidates, data, protection
     Cohesity
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.
Tags : data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption, security integration
     Teradata
By: Teradata     Published Date: May 02, 2017
As companies consider incorporating enterprise-level cloud services offered by Amazon Web Services, Microsoft Azure, Teradata, and others, many challenges arise related to data security, integration into existing data architecture, and analytics activities themselves. Download this article to understand these and other considerations for evaluating and adopting a cloud strategy for your enterprise, and what it means for analytics.
Tags : cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
     Teradata
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