data architecture

Results 76 - 100 of 444Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how to put a plan in place for full functional validation, and get details on the importance of validating resiliency in a live environment; learn why small-scale recovery “simulations” are inadequate and misleading.
Tags : 
enterprise, cloud computing, data centers, cloud-based solutions, it solutions, it functionality, storage architecture, effective resiliency programs
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
Tags : 
    
Oracle PaaS/IaaS/Hardware
Published By: JBoss Developer     Published Date: Oct 21, 2016
Java applications have been a central technology for enterprises for two decades. This wealth of data, functionality, and knowledge are critical to enterprises. With Java-based applications, modern development can build on a platform that enables cloud-native architectures while simultaneously supporting existing applications. This combination of traditional enterprise-wide monoliths and cloud-based application deployment allows organizations to take advantage of existing knowledge and resources while actively moving toward newer application models.
Tags : 
middleware, java, big data, analytics, mobile development
    
JBoss Developer
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
Tags : 
reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: Intel     Published Date: Aug 26, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
Tags : 
    
Intel
Published By: Liaison Technologies     Published Date: Nov 21, 2011
In this whitepaper, we describe how executive and IT management can get and maintain control of their company's data architecture to help meet business objectives. We describe the relationship between data integration projects and data architecture concepts and practices. We describe how the business planning and IT development processes that direct and leverage data integration projects depend on tooling. We describe breakthrough ways in which data architects, business analysts, programmers, and business users can collaborate to address their organization's pressing business challenges.
Tags : 
enterprise, soa, technology, liaison, business, data integration, data architecture, it management
    
Liaison Technologies
Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
Tags : 
data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management, data center
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
Tags : 
teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, business technology
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
Tags : 
teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility, data management
    
Teradata
Published By: Red Hat     Published Date: Nov 30, 2015
A step-by-step guide for adopting software-defined storage as part of a practical, proactive strategy for managing enterprise data. Flexibility is inherent in this technology, and now more than ever, a flexible IT architecture might be the key to facing the once unthinkable challenges of big data.
Tags : 
software-defined storage, enterprise data, it architecture, big data, enterprise applications
    
Red Hat
Published By: Storiant     Published Date: Apr 27, 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.
Tags : 
storage technologies, it storage vendors, storiant, storage infrastructures, automated storage
    
Storiant
Published By: NetApp     Published Date: Mar 05, 2018
One of the most effective ways to address database performance and cost challenges is to modernize the underlying hardware infrastructure. Innovations such as flash storage, converged infrastructure architectures, and sophisticated data management platforms can have a major impact. Learn more in our free eBook: Optimizing Database Storage Performance For Dummies.
Tags : 
netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: MobileIron     Published Date: Mar 21, 2017
Over the past few years, organizations have used a variety of tools and technologies to enable basic mobile device management (MDM) and essential apps like email and calendar. But those capabilities are inadequate for companies that want to move beyond the basics and transform their business processes by securely moving apps and data to the cloud. For AirWatch customers, this means they should start evaluating leading enterprise mobility management (EMM) platforms like MobileIron in order to achieve their mobile transformation goals. Our platform is 100% focused on building today’s modern enterprise architecture, which is quickly shifting core business processes away from legacy technologies and standardizing on mobile devices and cloud services.
Tags : 
    
MobileIron
Published By: Dell EMC     Published Date: Aug 22, 2017
Dell EMC Isilon, the #1 Scale-Out NAS platform, continues to transform the way organizations are deploying, protecting and managing their fast growing unstructured data. This session by Eric Seidman, Senior Manager, Product Marketing, Dell EMC will introduce attendees to the new generation of Isilon Scale-Out NAS family. Also covered will be a deep dive into the new Isilon architecture and a closer look at the six new Isilon systems – powered by the new OneFS 8.1 – which were announced at Dell EMC World 2017. Attend this session to learn how Isilon’s latest enhancements can revolutionize your business.
Tags : 
    
Dell EMC
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 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
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.
Tags : 
lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published 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
Published By: Gigamon     Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common distributed data services layer as part of a comprehensive security operations and analytics platform architecture (SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational efficiency.
Tags : 
    
Gigamon
Published By: Intel     Published Date: Sep 25, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
Tags : 
    
Intel
Published By: HERE Technologies     Published Date: Aug 12, 2019
More sophisticated cameras and vehicle sensors are enabling new ADAS features and the deployment of highly autonomous vehicles. However, reactive decisions and camera-based systems struggle when lane markings fade, snow or dirt covers the road, and the environment changes. Map-based Lane Keeping with HERE HD Live Map from VSI Labs examines how HD map assets can improve the safety and performance of automated vehicle features. Download this free report to learn: • How map data improves the performance and safety of ADAS features • How map-based systems outperform computer vision only system • The architecture of VSI’s map-based lane keeping system
Tags : 
    
HERE Technologies
Published By: IBM     Published Date: May 17, 2016
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations. 
Tags : 
ibm, business analytics, business intelligence, data, analytics, database
    
IBM
Published By: VMware     Published Date: Jun 28, 2019
With the benefits quickly stacking up, it’s easy to understand why Gartner stated HCI (Hyper-Converged Infrastructure) as one of the hottest trends in data centre infrastructure. HCI is intended to reduce infrastructure complexity and cost, whilst enhancing scalability, agility and operational efficiency. This consolidated infrastructure enables organizations to leverage the software layer by using low cost commodity hardware, while reducing concerns around vendor lock-in, to form a seamless software- defined IT infrastructure environment well suited to today’s IT challenges. Simple to use and manage, without specialists and more cost-effective than most traditional solutions, it’s easy to understand why more organisations are making the move from traditional architecture to Hyper-Converged Infrastructure. Submit the form to view the infograph to discover the benefits and whether this solution is right for you.
Tags : 
    
VMware
Published By: IBM     Published Date: May 16, 2016
Our objective in this Checklist Report is to share best practices that will position the reader to take advantage of a cloud-based data warehousing solution.
Tags : 
ibm, tdwi, checklist report, data warehousing, cloud, analytics, analytic architecture, warehousing, data management
    
IBM
Published By: IBM     Published Date: May 16, 2016
The data-driven organization is the new benchmark for success. Firms that harness data to dictate strategic and tactical decisions companywide make more informed business plans, better optimize operations, improve customer interactions, and provide competitive edge. To achieve these benefits, organizations increasingly see data refinement - transforming raw data from various sources into relevant and actionable information and delivering it through self - service access to any user who needs it - as the path toward success by helping break though immature processes and legacy systems. However, data refinement only functions as well as the strategies and approaches behind it. Organizations that do not understand the right way to embrace refinement will fail to catch up to competitors that have mastered the correct approach.
Tags : 
ibm, forrester, data-driven organization, data, analytics, analytic architecture, data management
    
IBM
Published 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.
Tags : 
    
Lenovo - APAC
Start   Previous    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15    Next    End
Search Research Library      

Add Research

Get your company's research in the hands of targeted business professionals.

“I am the Inspector Morse of IT journalism. I haven't a clue. D'oh” - Mike Magee