data architecture

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Published By: IBM     Published Date: Mar 30, 2017
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as extract, transfer and load (ETL), data replication or data virtualization.
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data integration, data security, data optimization, data virtualization, database security
    
IBM
Published By: Datastax     Published Date: Aug 07, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: May 20, 2019
DataStax Enterprise and Apache Kafka are designed specifically to fit the needs of modern, next-generation businesses. With DataStax Enterprise (DSE) providing the blazing fast, highly-available hybrid cloud data layer and Apache Kafka™ detangling the web of complex architectures via its distributed streaming attributes, these two form a perfect match for event-driven enterprise architectures.
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Datastax
Published By: Datastax     Published Date: Sep 27, 2019
The holiday shopping season is the ultimate test of your database architecture. An outage can have devastating effects on your year's profits, not to mention your business's reputation. The key to success is a database that scales out seamlessly to keep you up and running smoothly. Read this report to learn five key ways a distributed, scale-out database can provide stability, manageability, and reliability—during the holidays and beyond.
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Datastax
Published By: Datastax     Published Date: Sep 27, 2019
Every holiday season sets new records for database traffic, and old-guard database architectures simply aren't up to the task. In this white paper, you'll learn how to ensure your enterprise thrives under the year-end pressure—without wasting resources by overprovisioning.
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Datastax
Published By: Juniper Networks     Published Date: Jun 22, 2017
In today’s technology-driven world, a financial services organization’s ability to evolve the business quickly depends on the network. MetaFabric architecture, which is the foundation of Juniper’s unique end-to-end data center networking solution, helps financial services firms respond confidently to whatever happens in the market. With an open, simple, and smart network in place, organizations can adapt quickly and seamlessly to changing requirements while eliminating the disruptions of forced upgrades and unnecessary purchases that come with vendor lock-in. Most importantly, the MetaFabric architecture helps companies stay at the forefront of innovation, keeping them one step ahead of the competition.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Jun 22, 2017
The digital financial services world has created an amplified set of challenges for the data center and network. Its role in enabling the success of the wider institution has become even more critical, but to deliver this it needs to provide a higher level of performance with increased agility, while maintaining high levels of efficiency and security. This is forcing institutions to transform their underlying IT capabilities, with the need to simplify the network, obtain more flexible connectivity, automate IT operations, and enable centralized control and administration being core strategies in this respect. As shown in Figure 8, this is driving a number of requirements for the future network. Key considerations for financial institutions in architecture design and vendor selection should be around moving toward a software-defined, intelligent, cloud-ready, and open network that enables the institution to meet its ICT imperatives and achieve these key ICT strategies.
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account security, data management, network protection, secure systems, application security, network performance, network diagnostics
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
In most cases, your physical data center will not disappear as these growth trends play out. Instead, it will evolve into a hybrid environment, incorporating a mixture of physical and virtual computing technologies—including both public and private clouds. You’ll face even more challenging security risks within these hybrid environments than you have protecting your physical data center today. And you won’t be alone with these challenges when making the shift to a hybrid data center architecture.
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intrusion prevention, data attacks, firewall, junos space virtual director, appsecure, unified management, centralized platform
    
Juniper Networks
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
Over the past few years, business leaders have been the primary drivers of technology change, including making decisions to adopt new applications in the cloud, mandate a cloud-first strategy, offer new capabilities with an API-first strategy, and provide new applications to end users on mobile first. There are significant benefits to these cloud decisions because they decrease time to value, lower costs, and make it easier for organizations to experiment and innovate. But there are consequences as well, chiefly in the complexity of learning how to integrate applications and exchange data across a decentralized architecture that is largely driven by autonomous development decisions. This IDC White Paper answers the following questions about the need for hybrid integration: How are changes in business strategy and technology adoption requiring changes in how organizations approach integration? What are the major events that trigger integration adaptation? How are the roles involve
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Group M_IBM Q418
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: Lenovo - APAC     Published Date: Jan 28, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as they do not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Dell EMC Storage     Published Date: Nov 28, 2018
It is now apparent that three specific technology advancements—non-volatile memory express (NVMe), NVMe over fabrics (NVMe-oF), and storage-class memory (SCM)—are transformative and will end up guiding the future of high-end data storage. Each of those technologies reduce I/O latency significantly. However, organizations working to transform their data centers shouldn’t regard performance as the only end goal. Great performance is important because it increases an array’s ability to handle any workload intelligently, scale to meet unpredictable demand, and operate cost efficiently. The Dell EMC PowerMax powered by Intel® Xeon® processor is an impressive example of this type of modern storage architecture. It has been designed deliberately to maximize the speed of NVMe and by extension, offer transformational efficiency benefits and business value.
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Dell EMC Storage
Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
Today’s buildings and workplaces are major generators and receivers of data. By capturing and analyzing this data, organizations can gain improved understanding of their operational effectiveness, accelerated ability to react to change and increased returns from real estate-related decisions. This IBM buyer's guide outlines the features and capabilities of an effective IWMS, addressing the following key areas: Real estate management, Capital project management, Facilities management, Facilities maintenance and operations, Environmental and energy management, Cross-functional capabilities, Management system architecture. Create smarter buildings by integrating workplace data with analytics and automation with IBM TRIRIGA. Download the whitepaper.
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Group M_IBM Q4'19
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking. While organizations are readily investing in artificial intelligence (AI), most haven’t done due diligence to understand their data or ensure the quality of data needed to benefit from AI solutions. In many organizations, their data is inaccessible, unreliable, or non-compliant with data privacy and protection rules.
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Group M_IBM Q4'19
Published By: Intel     Published Date: Apr 09, 2019
Video data is a key part of surveillance as well as many other types of IoT implementations. But video data can be complex and costly to gather, transmit, and analyze. AllGoVision* provides an innovative analytics solution, purpose-built for video data. Powered by Intel® architecture, the solution has been deployed in more than 100 installations in 35 countries. It rapidly analyzes video from surveillance cameras for designated parameters, including specified factors, behavior patterns, motion tracking of people and objects, and environmental monitoring.
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Intel
Published By: Intel     Published Date: Apr 09, 2019
Retailers, along with many other vertical industries, seek to take advantage of the benefits of the Internet of Things (IoT) to improve customer experience management. However, quickly analyzing relevant data to inform decision-making and respond e?ectively to rapidly changing customer behaviors is challenging. The CEMOSoft* platform is designed to create opportunities, while addressing shifting demographics and an evolving IoT landscape. It o?ers a mobile customer engagement experience that can be dynamically modified on the ?y, along with the increased security and intelligence of an Intel® architecture based IoT gateway and Windows® 10 IoT Core. The result is an a?ordable, ?exible, scalable platform that brings ongoing customer insight to many aspects of daily operations
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Intel
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