data management

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Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise
Published By: Dell EMC     Published Date: Aug 17, 2017
Databases are often the driving force behind a company’s mission-critical work. They power online stores, confidential records, and customer management systems, so a solution that sustains high levels of database work can be a big advantage as your company grows. We found that the Dell EMC™ VxRail™ P470F hyperconverged system with VMware® vSAN™ could allow you to do more database work than the HPE Hyper Converged 380 (HC 380) with StoreVirtual VSA. The four-node Dell EMC solution processed more orders with faster response times, so more users can fulfill requests quicker—whether they’re placing orders in a store, accessing databases of client info, or adding to company records.
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database, database solution, hyperconverged system, database performance, database optimization
    
Dell EMC
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: MarkLogic     Published Date: Jun 09, 2017
NoSQL means a release from the constraints imposed on database management systems by the relational database model. This quick, concise eBook provides an overview of NoSQL technology, when you should consider using a NoSQL database over a relational one (and when to use both). In addition, this book introduces Enterprise NoSQL and shows how it differs from other NoSQL systems. You’ll also learn the NoSQL lingo, which customers are already using it and why, and tips to find the right NoSQL database for you.
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MarkLogic
Published By: CA Technologies     Published Date: Aug 24, 2017
IDC's research shows that, worldwide, over 70% of enterprise cloud users currently rely on multiple clouds (public and/or private) to support a wide range of applications and workloads. Efficient management of these resources depends on IT operations and DevOps teams having access to consistent, accurate infrastructure performance monitoring data and reporting that span the full set of on-premise cloud infrastructure and public cloud IaaS services. CA Technologies recently announced new capabilities for CA Unified Infrastructure Management (CA UIM) that allow the product to more fully address the monitoring needs of complex multicloud infrastructure as part of delivering on CA's vision to fully enable the agile DevOps in the application economy.
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CA Technologies
Published By: Dell EMC     Published Date: Aug 22, 2017
Identifying the benefits, costs, and risks associated with an Isilon implementation, Forrester interviewed several customers with experience using Isilon. Dell EMC Isilon is a scale-out NAS platform that enables organizations to store, manage, and analyze unstructured data. Isilon clusters are composed of different node types that can scale up to 68 petabytes (PB) in a single cluster while maintaining management simplicity. Isilon clusters can also scale to edge locations and the cloud
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Dell EMC
Published By: CA Technologies     Published Date: Aug 22, 2017
Data is the most valuable asset a business has, and the most important data lives on the mainframe. This critical information fuels the new apps and services that differentiate your business. And it’s rapidly growing, with each new app creating a new source of data. What’s more, usage demands are increasing as developers seek access to mainframe-based data to promote innovation.
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database, administration, management, performance optimization, sla, ca technologies, security
    
CA Technologies
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
A rewarding customer experience is the central aim for luxury gift company 1-800-Flowers.com: a fast, intuitive shopping process helps keep consumers loyal to its brands. Working with IBM, the company has built a master data management (MDM) system that helps deliver a more seamless experience to shoppers across multiple brands and channels.
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1 800 flowers, ibm, e-commerce, case study, master data management
    
IBM
Published By: NetApp     Published Date: Sep 21, 2017
This brief explains SolidFire's solution to the modern data center's struggle that exists between applications and storage, and how it offers a distinct scale-up storage application that intelligently dictates system performance in real time.
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netapp, database performance, flash storage, data management, cost challenges, solidfire
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
The SolidFire Definitive Guide: Guaranteeing Storage Performance covers the critical aspects of Quality of Service (QoS) in the evolving storage landscape, it’s importance as a component of storage architecture design, and worthy considerations when choosing designs in storage architecture to accommodate for an optimum QoS experience.
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netapp, database performance, flash storage, data management, cost challenges, storage performance
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
In order to achieve the five nines (aka, 99.999%), or higher availability, it is important to take a closer look at the design of your storage architecture systems. This paper offers a comprehensive method of assessing your current infrastructure, and provides insight into ways to transform your design to drive better outcomes.
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netapp, database performance, flash storage, data management, cost challenges, solidfire
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
Introduction to Guaranteed Quality of Service is an in-depth account of the crucial importance of incorporating Quality of Service (QoS) technology within data storage architecture, outlining how QoS is the critical factor in enabling dependable storage performance for business-critical applications in a multi-tenant or enterprise infrastructure.
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netapp, database performance, flash storage, data management, cost challenges, service
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
This white paper is an overview of how SolidFire enables efficient data distribution and management to maximize system capacity without experiencing performance downgrades in an economical manner.
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netapp, database performance, flash storage, data management, cost challenges, solidfire, data
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
In the current landscape of modern data centers, IT professionals are stretched too thin. Triage situations are the norm and tend to reduce the time spent on strategic business objectives. This paper offers a solution to this IT dilemma, outlining the ways to achieve a storage infrastructure that enables greater performance and capacity.
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netapp, database performance, flash storage, data management, cost challenges, all-flash
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
The five architectural principles guiding the development of a next generation data center are provided in this paper, describing key market influences leading a fundamental enterprise IT transformation.
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netapp, database performance, flash storage, data management, cost challenges, data
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
A visual infographic highlighting the five architectural principles of developing the Next Generation Data Center (NGDC), including scale-out, guaranteed performance, automated management, data assurance, and global efficiencies. This infographic typically accompanies the white paper, Designing the Next Generation Data Center, which is more in-depth account of the 5 principles.
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netapp, database performance, flash storage, data management, cost challenges, data
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
An overview of EMC's ExtremIO architecture as it compares to NetApp SolidFire. Provides an overview of each solution's differences and their overall impact suitability needs of a next generation data center
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netapp, database performance, flash storage, data management, cost challenges, solidfire, emc
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
A NetApp SolidFire pure storage architectural comparison brief. Covers each solution's architectural elements, where they differ and the impact on the overall suitability needs of a next generation data center.
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netapp, database performance, flash storage, data management, cost challenges, solidfire, pure storage
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
Emerging storage hardware and software enable I&O leaders to lower acquisition costs per terabyte and improve manageability. In additon to focusing on agility, automation and cost reductions, IT leaders should address the cultural changes and skill set shortages caused by digital business projects.
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netapp, database performance, flash storage, data management, cost challenges, 2017 strategic roadmap, storage
    
NetApp
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
CA API Management is a robust, enterprise-grade solution that can enable the success of your API initiatives. The software provides industry-leading tools to rapidly create APIs from existing data assets, orchestrate legacy services and safely expose enterprise applications and services. The solution also allows you to quickly onboard, manage and enable the developers who will create innovative apps that add value to your business. And, just as importantly, CA API Management secures your enterprise data to meet the toughest compliance and regulatory standards, while providing you with full control over which apps, developers and partners can access your APIs.
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api, application programming interface, psd2, open banking, json, github
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Continuous Delivery has become somewhat of a buzzword in the software development world. As such, numerous vendors promise that they can make it a reality, offering their tools as a remedy to the traditional causes of project delays and failure. They suggest that by adopting them, organizations can continually innovate and deliver quality software on time, and within budget.
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data management, data system, enterprise management, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
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