data architecture

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Published By: VMware SD-WAN by VeloCloud     Published Date: May 21, 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
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VMware SD-WAN by VeloCloud
Published By: VMware SD-WAN by VeloCloud     Published Date: May 21, 2019
Over the last couple of years SD-WAN technology has matured into a mainstream solution. Yet, the most appropriate migration path is not always clear. While there are many considerations to balance during a migration, the enduring benefit of an SD-WAN architecture is simplification: branch design, data center design, routing, edge platform choices, security choices, management. To ensure an understanding of the fundamental concepts, let’s quickly discuss the architecture and components of SD-WAN, and then move on to cover the best practices of various aspects of an SD-WAN migration
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VMware SD-WAN by VeloCloud
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: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat provides the difference you seek in a data storage solution for media and entertainment organizations. New demands have everyone in the industry feeling the impact of high latency storage and its impact on efficiently delivering speed to market on new and dense workload management. The Infinidat unified storage architecture enables the scale, performance and best overall TCO required to deliver an extreme competitive advantage to media and entertainment companies.
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Infinidat EMEA
Published By: Avi Networks     Published Date: May 10, 2019
Modern data centers run a combination of cloud-native applications and microservices architectures alongside traditional applications. Networking teams are under pressure to deliver services and resolve application issues quickly while lowering costs for application services. Your IT operations demand agile, cost-effective load balancing solutions.
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Avi Networks
Published By: Hewlett Packard Enterprise     Published Date: May 10, 2019
Nimble Secondary Flash array represents a new type of data storage, designed to maximize both capacity and performance. By adding high-performance flash storage to a capacity-optimized architecture, it provides a unique backup platform that lets you put your backup data to work. Nimble Secondary Flash array uses flash performance to provide both near-instant backup and recovery from any primary storage system. It is a single device for backup, disaster recovery, and even local archiving. By using flash, you can accomplish real work such as dev/test, QA, and analytics. Deep integration with Veeam’s leading backup software simplifies data lifecycle management and provides a path to cloud archiving.
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Hewlett Packard Enterprise
Published By: Flexera     Published Date: May 06, 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
Published By: Rubrik EMEA     Published Date: Apr 15, 2019
Backup and recovery needs a radical rethink. When today’s incumbent solutions were designed over a decade ago, IT environments were exploding, heterogeneity was increasing, and backup was the protection of last resort. The goal was to provide a low cost insurance policy for data, and to support this increasingly complex multi-tier, heterogeneous environment. The answer was to patch together backup and recovery solutions under a common vendor management framework and to minimize costs by moving data across the infrastructure or media.
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data, backup, recovery, virtualization, solutions, cloud, architectures
    
Rubrik EMEA
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
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 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 Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Blue Prism     Published Date: Mar 28, 2019
Robotic process automation describes the use of technology to automate tasks that are traditionally done by a human being. The technology itself mimics an end user by simulating user actions such as navigating within an application or entering data into forms according to a set of rules. RPA is often used to automate routine administrative tasks that typically require a human being to interact with multiple systems, but RPA technology is evolving to support the automation of increasingly sophisticated processes at scale within enterprise architectures rather than on the desktop. Over the past two years, RPA has been adopted by a number of business process outsourcing (BPO) providers and a growing number of end-user organizations are now deploying the technology themselves to create “virtual workforces” of robotic workers.
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Blue Prism
Published 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
Published 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
Published 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
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acg, data center efficiency
    
Apstra
Published 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.
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virtual cloud network, cloud adoption, data automation
    
VMware SD-WAN by VeloCloud
Published 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
Published 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.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published 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
Published 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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