data architecture

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By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises seeking to become application-centric, with many modern data centers now running a combination of cloud-native applications based on microservices architectures alongside traditional applications. With application owners seeking publiccloud- like simplicity and flexibility in their own data centers, IT teams are under pressure to deliver services and resolve application issues quickly, while simultaneously reducing provisioning time for new applications and lowering costs for application services.
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     Avi Networks
By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q119
By: Apstra     Published Date: Feb 21, 2019
Modern data centers based on hyperscale, leaf-spine switching architectures are growing so large and complex they are outstripping the capacity of operators to engineer, configure and manage these networks using traditional tools and techniques. As a result, data center operators are looking for new ways to automate workflows, maximize uptime and increase operational agility while reducing operating costs
Tags : acg, data center efficiency
     Apstra
By: VMware SD-WAN by VeloCloud     Published Date: Feb 19, 2019
As organizations prioritize digital transformation initiatives, many are finding that legacy networks are holding them back. To support new business models, cloud adoption, and an explosion in connected devices, modern networks must support interoperability across data centers, multiple clouds, branch locations, and edge devices. Applications now run at every point on this spectrum, and they are critical to businesses’ ability to win in hypercompetitive marketplaces. Yet, even as business success has become more dependent on this new architecture, and the amount of data flowing across connections has increased, many organizations still lack a unified approach to management, automation, and security.
Tags : virtual cloud network, cloud adoption, data automation
     VMware SD-WAN by VeloCloud
By: Flexera     Published Date: Feb 19, 2019
Using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is a challenge. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical. Watch the webinar.
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     Flexera
By: MobileIron     Published Date: Feb 14, 2019
What if you could protect your company from data loss before a mobile attack occurs? The reality is that mobile threats are everywhere and the risks are escalating. But in the world of modern work, how can IT protect mobile devices while allowing users easy access to corporate data on a device of their choice anytime, anywhere? Watch this webinar on demand to learn how mobile threat defense is reducing risks amongst some of the largest mobility programs in the world. We will reveal: -How mobile attacks are targeting corporate data, bypassing traditional IT defenses -Why threat detection and remediation protects your data, without disrupting user productivity -Why mobile threat detection is an essential component of a layered defense architecture With one app, MobileIron Threat Defense delivers unparalleled mobile threat detection and remediation on-device without network connectivity required, and no need for users to take any action.
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     MobileIron
By: Lenovo - APAC     Published Date: Feb 11, 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 theydo 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.
Tags : lenovodcg, nutanix, hyperconvergedinfrastructure, hci
     Lenovo - APAC
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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     Domino Data Lab
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
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.
Tags : lenovodcg, nutanix, hyperconvergedinfrastructure, hci
     Lenovo - APAC
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 theydo 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.
Tags : lenovodcg, nutanix, hyperconvergedinfrastructure, hci
     Lenovo - APAC
By: Google     Published Date: Jan 24, 2019
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
By: BMC ASEAN     Published Date: Dec 18, 2018
400+ IT professionals reveal what’s next for workload automation How are today’s leading companies using workload automation to drive their most important IT initiatives? Find out in this detailed report summary from analyst firm Enterprise Management Associates (EMA). You’ll learn how the role of workload automation is evolving, including: The rise of predictive analytics in WLA Surprising stats on the frequency and ease of migration How big data and cloud impact WLA The use of containers and micro services architectures Workload automation is changing fast. Keep up with the latest analyst research – download the report.
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     BMC ASEAN
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: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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     StreamSets
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
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
By: Cohesity     Published Date: Nov 20, 2018
Today, hybrid cloud is increasingly the norm, and enterprises are challenged with ways to have visibility, manage and make use of all this data – both on-premises and in the cloud. While much attention has been given to primary data affecting mission-critical workloads, data for secondary workloads – backup, test/dev, disaster recovery, and archiving to name a few – have become siloed the same way application data has, leading to multiple point solutions to manage an increasing amount of data. This white paper looks at the evolution of these challenges and offers practical advice on ways to store, manage and move secondary data in hybrid cloud architectures while extracting the hidden value it can provide. Download to learn more.
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     Cohesity
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: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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     Druva
By: AWS     Published Date: Oct 31, 2018
Today AMP Ltd. integrates and manages its customer data more efficiently using a single Talend platform that enables data reconciliation, quality-assessment dashboards, and metadata management. Ten billion rows of AMP Ltd. data are computed in less than an hour. In this webinar you will learn how you can modernize your data architecture to help you collect and validate data, act upon it, and transform your organization for the digital age.
Tags : amp, cloud, data, customer, reconciliation, digital
     AWS
By: Google     Published Date: Oct 26, 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.
Tags : 
     Google
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
By: IBM APAC     Published Date: Oct 16, 2018
Modern AI, HPC and analytics workloads are driving an ever-growing set of data intensive challenges that can only be met with accelerated infrastructure. Designed for the AI era and architected for the modern analytics and AI workloads, Power Systems AC922 delivers unprecedented speed for the AI Era like up to 5.6 times as much bandwidth, which results from The only architecture enabling NVLink between CPUs and GPUs a variety of next-generation I/O architectures: PCIe gen4, CAPI 2.0, OpenCAPI and NVLINK. Proven simplified deep-learning deployment and AI performance
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     IBM APAC
By: IBM APAC     Published Date: Oct 16, 2018
The latest IBM POWER9 Server is built for the most demanding, data-intensive, computing on earth with an enhanced core and chip architecture. It provides scalability and flexibility to handle changing customer needs while being cloud-ready with industry-leading reliability and performance. The POWER9 Systems server family has servers that are available for different workloads, IT environments or budget. You can choose from an array of server options that include: - POWER9 for Enterprise – scale-up - POWER9 for AIX & IBM I – scale-out - POWER9 for Linux - POWER9 for SAP HANA - POWER9 for Enterprise AI, Deep Learning & Machine Learning Find out more about these servers to meet the business needs of tomorrow.
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     IBM APAC
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