data architecture

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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
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     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
By: Teradata     Published Date: May 02, 2017
Constellation Research presents case studies of two companies that cut costs, gained flexibility, and eased administration by adding cloud data warehouse capacity to their on-premises environment. Both of these deployments: • Solved problems and yielded expected and unexpected benefits • Required some adjustments to administrative processes and expectations • Led to hybrid architecture as being an invaluable aspect of their respective data warehousing strategies Download the case studies now to explore each company’s journey, understand recurring themes, and walk away with actionable insights.
Tags : cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
     Teradata
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, business technology
     IBM
By: IBM     Published Date: Apr 19, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data management
     IBM
By: IBM     Published Date: Apr 19, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, data management
     IBM
By: IBM     Published Date: Apr 19, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselves, to respond to the market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, data management
     IBM
By: IBM     Published Date: Jul 05, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, knowledge management, enterprise applications, data management, business technology, data center
     IBM
By: IBM     Published Date: Jul 05, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, knowledge management, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, enterprise applications, data management, business technology, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, enterprise applications, data management, business technology, data center
     IBM
By: IBM     Published Date: Apr 18, 2017
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. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
Tags : data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
     IBM
By: IBM     Published Date: Jul 06, 2017
In order to exploit the diversity of data available and modernize their data architecture, many organizations explore a Hadoop-based data environment for its flexibility and scalability in managing big data. Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.
Tags : hadoop, flexibility, scalability, data architecture
     IBM
By: Oracle     Published Date: Jan 28, 2019
Oracle Engineered Systems are architected to work as a unified whole, so organizations can hit the ground running after deployment. Organizations choose how they want to consume the infrastructure: on-premises, in a public cloud, or in a public cloud located inside the customer’s data center and behind their firewall using Oracle’s “Cloud at Customer” offering. Oracle Exadata and Zero Data Loss Recovery Appliance (Recovery Appliance) offer an attractive alternative to do-it-yourself deployments. Together, they provide an architecture designed for scalability, simplified management, improved cost of ownership, reduced downtime, zero-data loss, and an increased ability to keep software updated with security and patching. Download this whitepaper to discover ten capabilities to consider for protecting your Oracle Database Environments.
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     Oracle
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