data architecture

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Published By: JBoss Developer     Published Date: Oct 21, 2016
Digital transformation (DX) is the continuous process by which enterprises adapt to or drive disruptive change by leveraging digital competencies, such as harnessing sensor data or using location, customer profile, and a mobile app to make shopping recommendations. DX reshapes the organization's culture where required; leverages existing processes, systems, and assets; and creates net-new digital capabilities as needed. With DX, there is the need to embrace new business models and new architectures and technologies that will help an enterprise with customer-facing innovation as well as transition existing systems, processes, organization structure, and relationships to support the transformation.
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api, market intelligence, advisory services, digital transformation, data
    
JBoss Developer
Published By: Lenovo and Intel®     Published Date: Oct 14, 2016
Software-defined infrastructure is no longer the future. It is now. In this hyperconvergence overview, we provide a quick overview of what hyperconvergence is and how data center architectures benefit. You will also see some systems, software examples, and recommendations to get you on your way!
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hyperconvergence, it infrastructure, storage computing, network storage, data efficiency
    
Lenovo and Intel®
Published By: IBM     Published Date: Oct 13, 2017
This BARC document is the third edition of our BARC Score business intelligence vendor evaluation and ranking. This BARC Score evaluates enterprise BI and analytics platforms that are able to fulfill a broad set of BI requirements within the enterprise. Based on countless data points from The BI Survey and many analyst interactions, vendors are rated on a variety of criteria, from product capabilities and architecture to sales and marketing strategy, financial performance and customer feedback.
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barc. business intelligence, analytics, customer feedback
    
IBM
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional databases and data warehouses are evolving to capture new data types and spread their capabilities in a hybrid cloud architecture, allowing business users to get the same results regardless of where the data resides. The details of the underlying infrastructure become invisible. Self-managing data lakes automate the provisioning, reliability, performance and cost, enabling data access and experimentation.
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AWS - ROI DNA
Published By: Pure Storage     Published Date: Sep 04, 2018
Veritas' NetBackup software has long been a favorite for data protection in the enterprise, and is now fully integrated with the market-leading all-flash data storage platform: Pure Storage. NetBackup leverages the FlashArray API for fast and simple snapshot management, and protection copies can be stored on FlashBlade for rapid restores and consolidation of file and object storage tiers. This webinar features architecture overviews as well as 2 live demo's on the aforementioned integration points.
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Pure Storage
Published By: HP and Intel® Xeon® processor     Published Date: Aug 10, 2012
Virtualization reduces the number of physical servers IT needs to provision and maintain, but it also transforms the data protection paradigm. Now businesses can recover from failures in minutes, not hours, with unprecedented affordability. The key to
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complete, storage, data, protection, architecture, virtual, environments, virtualization, physical, servers, server, transforms, data, management, business technology
    
HP and Intel® Xeon® processor
Published By: Enterprise Management Associates     Published Date: Aug 25, 2015
This webinar talks about various issues organization's deal with on a daily basis and how Hadoop can offer solutions.
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ema, hadoop, big data analytics, predictive insights, data lake architecture, hadoop adoption, enterprise management, business intelligence, data warehousing, data integration, data visualization, data analyst
    
Enterprise Management Associates
Published By: IBM     Published Date: May 29, 2008
IBM Multiform Master Data Management manages master data domains - customers, accounts, products - that have significant impact on the most important business processes and realize the promise of Service Oriented Architecture (SOA). IBM is the only vendor that delivers an integrated MDM product with significant out-of-the-box functionality for each MDM usage style - collaborative, operational and analytical - across multiple data domains, thereby managing the complete data lifecycle.
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data management, mdm, data lifecycle, master data management
    
IBM
Published By: NexGen     Published Date: Feb 09, 2015
94% of IT professionals consider it valuable to manage data based upon the business value of it. Yet only 32% are doing it - because it's hard. Are you looking to be a part of the 32% without the difficulties? There is a substantial gap between those who want to use data to its full potential and those that are actually doing so. Storage systems have never been designed with the end-goal to help customers prioritize their data based on their own priorities and the value of that data. Narrowing that gap may not be as hard or expensive as many companies think. Solving these challenges was one of the founding principles around NexGen's Hybrid Flash Array. Download now and learn how IT professionals can use NexGen storage architecture and software to simplify data priority assignment and management process.
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data, data value, nexgen, flash, hybrid, it management
    
NexGen
Published By: BrightCove     Published Date: Nov 18, 2008
With the explosive growth of online video, traditional SEO has taken on a new dimension: video search and discovery. De-mystify the world of video search with a practical framework for video SEO and increase the value of your video content.
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brightcove, video seo, contextual publishing, inbound links, video feeds & sitemaps, metadata, site architecture, emerging techniques, search engine optimization, enterprise applications
    
BrightCove
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: NetIQ     Published Date: Jul 27, 2011
In this on-demand webinar, John Kindervag, Senior Analyst at Forrester Research, defines "zero-trust architecture," outlines the 5 steps needed to make this model actionable, and explains how his clients are adopting a "zero-trust architecture."
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zero trust, netiq, advanced threats, apt prevention, cybercrime, incident response, network analysis and visibility, network forensics, network security monitoring, situational awareness, threat geek, threat intelligence, threat mitigation, enterprise, networks, data, kindervag, forrester, architecture
    
NetIQ
Published By: StorageCraft® Technology Corporation     Published Date: Jun 23, 2011
Adaptive Infrastructure provides fast and reliable access to data and the applications that rely on that data. When a problem occurs, you better be able to get things running again in a very short order. There are multiple solution architectures available to provide reliable access to data and applications - find out more now.
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storagecraft, infrastructuer, back up, recover, adaptive, avoid loss, resources, vulnerabiilty
    
StorageCraft® Technology Corporation
Published By: IBM     Published Date: Nov 09, 2012
This paper describes what operational analytics is and what it offers to the business. We explore its relationship to business intelligence (BI) and see how traditional data warehouse architectures struggle to support it.
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ibm, db2 analytics acclerator, analytics integration, business intelligence, enterprise applications, data management, business technology
    
IBM
Published By: CDW     Published Date: Apr 04, 2016
Data Fabric is NetApp’s vision for the future of data management. A data fabric seamlessly connects different data management environments across disparate clouds into a cohesive, integrated whole. A Data Fabric enabled by NetApp® helps organizations maintain control and choice in how they manage, secure, protect, and access their data across the hybrid cloud, no matter where it is. Although the data fabric is constantly evolving, organizations can start taking advantage of it today using NetApp technologies that enable data management and seamless data movement across the hybrid cloud.
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data, application performance, data protection, performance optimization, cloud management
    
CDW
Published By: CDW     Published Date: Apr 04, 2016
Open Compute has had a significant impact on the thinking about data center design. Until now, the focus has been on systems at the rack level, leaving unanswered questions about the power infrastructure upstream of the rack. In this paper, we address critical questions about the implications of Open Compute on the upstream power infrastructure, including redundancy, availability, and flexibility. We introduce simplified reference designs that support OCP and provide a capital cost analysis to compare traditional and OCP-based designs. We also present an online TradeOff Tool that allows data center decision makers to better understand the cost differences and cost drivers to various architectures.
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data, application performance, data protection, performance optimization, data center, infrastructure management, data management
    
CDW
Published By: CDW     Published Date: Apr 04, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, data center
    
CDW
Published By: NetApp     Published Date: Sep 17, 2014
This collection of insights, market trends and best practice recommendations, suggest ideas that are relevant for any organization evaluating or managing a hybrid cloud environment.  NetApp enables unrestricted yet secure movement of data across any public and private clouds, allowing you to move to hybrid cloud architectures.
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hybrid cloud, clustered data, dynamic data portability, universal data platform, product operations, storage, data management
    
NetApp
Published By: Box     Published Date: Jan 16, 2015
In a recent customer survey, 94% of respondents stated that managing their data based on the value or priority of that data to their business was “valuable” to them. However, only 32% of respondents are practicing value or priority based data management.
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data, data value, nexgen, flash, hybrid, it management
    
Box
Published By: Storiant     Published Date: Apr 30, 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.
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storage technologies, it storage vendors, storiant, storage infrastructures, automated storage, it management, knowledge management, enterprise applications, data management
    
Storiant
Published By: Microsoft Azure     Published Date: Apr 10, 2018
Take a structured approach to designing your cloud applications. This cloud computing architecture e-book focuses on architecture, design, and implementation—considerations that apply no matter which cloud platform you choose. The guide includes steps for: Choosing the right cloud application architecture style for your app or solution. Selecting appropriate compute and data store technologies. Incorporating 10 design principles to build a scalable, resilient, and manageable application. Following the five pillars of software quality to ensure your cloud app is successful. Using design patterns that specifically apply to the problem you’re trying to solve. Download the 300-page cloud architecture e-book to explore these best practices, and get access to design review checklists, reference architectures, and more.
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Microsoft Azure
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Distributed systems enable different areas of a business to build specific applications to support their needs and drive insight and innovation. While great for the business, this new normal can result in development inefficiencies when the same systems are reimplemented multiple times. This free e-book provides repeatable, generic patterns, and reusable components to make developing reliable systems easier and more efficient—so you can free your time to focus on core development of your app. In this 160–page e-book, you’ll find: An introduction to distributed system concepts. Reusable patterns and practices for building distributed systems. Exploration of a platform for integrating applications, data sources, business partners, clients, mobile apps, social networks, and Internet of Things devices. Event-driven architectures for processing and reacting to events in real time. Additional resources for learning more about containers and container orchestration systems. “There are more
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Microsoft Azure
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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Microsoft Azure
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Spend more time building great apps and less time managing server infrastructure. Get your solutions to market faster using Azure Functions, a fully managed compute platform for processing data, integrating systems, and building simple APIs and microservices. In this e-book you’ll find use cases, hands-on steps, and tutorials for quickly configuring your own serverless environments. Explore best practices for Functions, and learn how to: Develop event-based handlers on a serverless architecture. Test, troubleshoot, and monitor Azure functions. Automate administrative tasks from development through to deployment and maintenance. Integrate Functions with other Azure services. Build stateful serverless apps and self-healing jobs using Durable Functions. Download the 325-page serverless computing e-book and get access to dozens of step-by-step recipes for quickly building serverless apps.
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Microsoft Azure
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
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