database systems

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Published By: DellEMC and Intel®     Published Date: Oct 18, 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. Intel Inside®. Nya möjligheter på utsidan. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logotyp, intel atom, intel atom inside, intel core, intel inside, intel inside logotyp, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®
Published By: Microsoft     Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: IBM     Published Date: Sep 28, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, enterprise database, oltp, telecommunications, healthcare, consumer banking
    
IBM
Published By: DellEMC and Intel®     Published Date: Sep 20, 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. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Sep 20, 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. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
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: 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: IBM     Published Date: Jul 26, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, enterprise data, windows, linux, telecommunications, healthcare, consumer banking
    
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. "
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Oracle PaaS/IaaS/Hardware
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: Jun 21, 2017
Today, it’s unlikely that a single database will meet all your needs. For a variety of reasons—including the need to support cloud-scale solutions and increasingly dynamic app ecosystems—startups and enterprises alike are embracing a wide variety of open source databases. These varied databases—including MongoDB, Redis and PostgreSQL— open doors to building sophisticated and scalable applications on battle-hardened, non-proprietary databases.
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ibm, data base, cloud, scalability, app ecosystem
    
IBM
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: IBM     Published Date: Jun 08, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
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ibm, linux, windows, telecommunications, healthcare, oracle database
    
IBM
Published By: Datastax     Published Date: Apr 04, 2017
Graph databases are changing how we use data. But first, an example – you're (probably) a human working on a project and looking at graph databases as a potential solution. While we're a company that has a graph database that hopefully solves your problem. Now we could store that data in a boring relational database, but how do we do more than that? For instance, using that data, when combined with other data points, to find other people like you and recommend our solution to them? This is where a graph can come in handy. The friendly graph data model makes it easy to use patterns of relationships within large data sets. By leveraging those relationships we can analyze, or create better real-time experiences. Why Graph explores why this graph database 'thing' is really a thing, how they compare to other database systems, and the use cases they best support.
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graph, database, datastax
    
Datastax
Published By: IBM     Published Date: Sep 30, 2016
Securing sensitive data presents a multi-dimensional challenge where complex environments—which often include a wide range of heterogeneous database management systems (DBMS), enterprise applications, big data platforms, file systems, OS platforms with multiple access paths and permission levels—have created a seemingly end-less array of security risks and violation scenarios. This data security ebook examines the top 5 scenarios and essential best practices for defending against insider threats and external attacks.
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ibm, data, big data, safeguard, sensitive data, security, dbms, data management
    
IBM
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads. Download this white paper to learn how you can get the most from your storage environment.
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Hewlett Packard Enterprise
Published By: Oracle ODA     Published Date: Aug 15, 2016
Oracle added two new models to the Oracle Database Appliance family in addition to the existing high availability model. With an entry list price starting at a fourth of the cost of the prior generation Oracle Database Appliance hardware and flexible Oracle Database software licensing, these new models bring Oracle Engineered Systems to within reach of every organization. Read about how the Oracle Database Appliance X-6 series expands the reach of the database appliance family to support various workloads, deployment scenarios, and database editions. They are especially designed for customers requiring only single instance databases, but who desire the simplicity, optimization, and affordability of the Oracle Database Appliance. These new models are ideal for customers who seek to avoid the complexity, tuning requirements, and higher costs of “build-your-own” database solutions.
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Oracle ODA
Published By: Equinix     Published Date: Oct 20, 2015
Enterprises must prepare for the emerging digital user. Future interactions among people, whether enterprise employees, partners or customers, will be primarily digital and heavily influenced by mobile devices, social media, analytics and the cloud. User interactions with systems of record, such as databases and files, will largely give way to interactions with systems of engagement, such as social media.
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enterprise, digital user, user interaction, systems of engagement, analytics and the cloud, mobile devices, social media
    
Equinix
Published By: Basho     Published Date: Apr 13, 2015
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers. Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
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riak, basho, telecommunications service provider, license fees, scalability, availability, data usage, big data, service operations system
    
Basho
Published By: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities
    
NetApp
Published By: CDW     Published Date: Sep 17, 2014
We now live in a flash centric world where all active data must be on flash. This doesn’t mean, however, that all data must be on flash. The best approach is to understand your application mix and workload requirements. Some key apps, like databases, are latency intolerant and should be pinned to flash. Others apps can benefit from fully-automated storage tiering. EMC’s market leading VMAX and VNX systems are flexible choices that can deliver all-flash and hybrid services. CDW and EMC has you covered!
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data, market, flash, systems, key apps, centric, application, tiering, latency, intolerant, storage, automated, hybrid, services, leading, active
    
CDW
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy
    
IBM
Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api
    
IBM
Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy
    
IBM
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