oltp

Results 1 - 25 of 45Sort Results By: Published Date | Title | Company Name
Published By: 4Retail     Published Date: Mar 24, 2010
This white paper aims to identify why there is a need for a new technology and how this solution can improve communication, enhance collaboration and reduce the lead time of the design to delivery cycle.
Tags : 
the third way, communication, document management, on-demand collaboration tool, project management, global sourcing, global sourcing management, on demand collaboration solution, olap v oltp, communication tool, growing inboxes, document upload, online collaboration, 4retail, retail needs, the supply chain, design to delivery cycle
    
4Retail
Published By: CDW     Published Date: Aug 28, 2015
ACCELERATE, CONSOLIDATE, AND SIMPLIFY All-Flash Arrays (AFAs) are the preferred choice to accelerate high-performance OLTP and decision support/analytics applications on Oracle and Microsoft SQL Server databases. But not all AFAs are equal. Performance is just one dimension. XtremIO excels in all.
Tags : 
storage, servers, cloud computing, architecture, convergence, infrastructure
    
CDW
Published By: Dell and Nutanix     Published Date: Jan 16, 2018
Because many SQL Server implementations are running on virtual machines already, the use of a hyperconverged appliance is a logical choice. The Dell EMC XC Series with Nutanix software delivers high performance and low Opex for both OLTP and analytical database applications. For those moving from SQL Server 2005 to SQL Server 2016, this hyperconverged solution provides particularly significant benefits.
Tags : 
data, security, add capacity, infrastructure, networking, virtualization, dell
    
Dell and Nutanix
Published By: Dell EMC     Published Date: Nov 10, 2015
Read this paper to learn how Dell has used its Generation 12 servers powered by Intel® Xeon® processors with direct attached storage to demonstrate that a system with 43% flash and intelligent tiering can perform as well as 100% flash for OLTP databases using Microsoft’s SQL server.
Tags : 
    
Dell EMC
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Compression algorithms reduce the number of bits needed to represent a set of data—the higher the compression ratio, the more space this particular data reduction technique saves. During our OLTP test, the Unity array achieved a compression ratio of 3.2-to-1 on the database volumes, whereas the 3PAR array averaged a 1.3-to-1 ratio. In our data mart loading test, the 3PAR achieved a ratio of 1.4-to-1 on the database volumes, whereas the Unity array got 1.3 to 1.
Tags : 
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
When your company’s work demands a new storage array, you have the opportunity to invest in a solution that can support demanding workloads simultaneously—such as online transaction processing (OLTP) and data mart loading. At Principled Technologies, we compared Dell EMC™ PowerEdge™ R930 servers1 with the Intel® Xeon® Processor Dell EMC Unity 400F All Flash storage array to HPE ProLiant DL580 Gen9 servers with the HPE 3PAR 8400 array in three hands-on tests to determine how well each solution could serve a company during these database-intensive tasks. Intel Inside®. New Possibilities Outside.
Tags : 
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Les opérations de bases de données sont cruciales, tant par l’importance qu’elles revêtent pour votre entreprise que par leur ampleur même. Les tests que nous avons réalisés avec le serveur Dell EMC PowerEdge R930 et la baie de stockage Unity 400F All Flash montrent que cette solution offre des performances comparables à celles d’un serveur HPE ProLiant DL380 Gen9 et d’une baie 3PAR sur les charges applicatives OLTP, avec un taux de compression supérieur (3,2 pour 1 contre 1,3 pour 1). Pour le chargement de vastes ensembles de données, la baie Dell EMC Unity s’est montrée 22 pour cent plus rapide que la baie HPE 3PAR, ce qui peut faciliter la tâche de l’administrateur chargé des DataMarts. Lors de l’exécution simultanée des charges applicatives OLTP et DataMart, la baie Unity a surpassé la baie HPE 3PAR, avec 29 pour cent de commandes traitées en plus par minute.
Tags : 
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Les algorithmes de compression réduisent le nombre de bits nécessaires pour représenter un ensemble de données. Plus le taux de compression est élevé, plus cette technique de réduction des données permet d’économiser de l’espace. Lors de notre test OLTP, la baie Unity a atteint un taux de compression de 3,2 pour 1 sur les volumes de base de données. De son côté, la baie 3PAR affichait en moyenne un taux de 1,3 pour 1. Sur le test de chargement DataMart, la baie 3PAR a atteint un taux de 1,4 pour 1 sur les volumes de bases de données, tandis que la baie Unity enregistrait un taux de 1,3 pour 1.
Tags : 
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Datenbankverarbeitung ist ein wichtiges Thema – in Bezug auf Ihr Unternehmen und in Bezug auf den schieren Umfang der Vorgänge. Unsere Tests mit dem Dell EMC PowerEdge R930 Server und dem Unity 400F All-Flash-Speicherarray führten zu dem Ergebnis, dass die Leistung des Systems bei OLTP Workloads mit einem HPE ProLiant DL380 Gen9-Server mit 3PAR-Array vergleichbar ist, sich aber durch ein besseres Komprimierungsverhältnis auszeichnet (3,2:1 gegenüber 1,3:1). Ladevorgänge mit großen Datenmengen beendete das Dell EMC Unity 22 Prozent schneller als das HPE 3PAR. Dies kann weniger Aufwand für einen mit Data Marts betrauten Administrator bedeuten. Bei paralleler Ausführung von OLTP- und Data-Mart-Workloads übertraf das Unity-Array das HPE 3PAR im Hinblick auf verarbeitete Aufträge pro Minute um 29 Prozent.
Tags : 
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
Komprimierungsalgorithmen sorgen dafür, dass weniger Bit benötigt werden, um einen bestimmten Datensatz zu repräsentieren. Je höher das Komprimierungsverhältnis, desto mehr Speicherplatz wird durch dieses spezielle Datenreduzierungsverfahren eingespart. Während unseres OLTP-Tests erreichte das Unity-Array bei den Datenbank-Volumes ein Komprimierungsverhältnis von 3,2:1, während das 3PAR-Array im Schnitt nur ein Verhältnis von 1,3:1 erreichte. In unserem Data Mart-Ladetest erzielte das 3PAR bei den Datenbank-Volumes ein Verhältnis von 1,4:1, das Unity-Array nur 1,3:1.
Tags : 
    
Dell PC Lifecycle
Published By: Group M_IBM Q1'18     Published Date: Feb 28, 2018
This paper presents a cost benefit case for IBM Db2 11.1 for LUW and Oracle Database 12c.
Tags : 
ibm, db2, oracle database, oltp deployments
    
Group M_IBM Q1'18
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.
Tags : 
database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations? Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
Tags : 
cost reduction, oracle database, it operation, online transaction, online analytics
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Modern storage arrays can’t compete on price without a range of data reduction technologies that help reduce the overall total cost of ownership of external storage. Unfortunately, there is no one single data reduction technology that fits all data types and we see savings being made with both data deduplication and compression, depending on the workload. Typically, OLTP-type data (databases) work well with compression and can achieve between 2:1 and 3:1 reduction, depending on the data itself. Deduplication works well with large volumes of repeated data like virtual machines or virtual desktops, where many instances or images are based off a similar “gold” master.
Tags : 
    
Hewlett Packard Enterprise
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's retail environment. From customer data to product placement statistics, retail organizations are constantly juggling information. As the sheer amount of data continues to grow, it becomes increasingly difficult to manage. Not only does data come in many different forms—such as reports, memos and e-mails—but often it’s scattered across multiple repositories.
Tags : 
ibm, ibm balanced warehouses, ibm master data management server, ibm omnifind, ibm industry data models, dynamic warehousing, retail buyer’s guide, leveraging data, customer data, product placement statistics, data management, scalable system, customer relationships, cross-sell, up-sell opportunities, db2 warehouse, oltp-based transactional data server, information management software
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
Tags : 
ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities, information on demand framework, ibm db2 warehouse, ibm master data management server, ibm omnifind, ibm industry data models, ibm balanced warehouses, oltp-based transactional data
    
IBM
Published By: IBM     Published Date: Dec 06, 2013
Most enterprise datacenters are so cluttered with individually constructed servers, including database servers, that staff time is largely taken up with just the maintenance of these systems. As a result, IT service to business users suffers, and the agility of the enterprise suffers. Integrated systems represent an antidote to this problem. By dramatically reducing the amount of setup and maintenance time for the applications and databases they support, integrated systems enable the technical staff to spend more of their time supporting users and enabling the enterprise to thrive.
Tags : 
ibm, ibm puredata system, transaction, datacenter, data management, integrated system, configuration, consolidation
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
Tags : 
ibm, always on business, cloud, big data, oltp, ibm db2 purescale
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
Tags : 
data. queries, database operations, transactional databases, clustering
    
IBM
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.
Tags : 
ibm, linux, windows, telecommunications, healthcare, oracle database
    
IBM
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.
Tags : 
ibm, enterprise data, windows, linux, telecommunications, healthcare, consumer banking
    
IBM
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.
Tags : 
ibm, enterprise database, oltp, telecommunications, healthcare, consumer banking
    
IBM
Published By: Idera     Published Date: Jul 30, 2013
At a very high and overly simplified level, SQL Server performance can typically be distilled down to a question of how well SQL Server is able to utilize Physical Memory (or RAM). For example, a server with a single, 20GB, OLTP database running on a SQL Server with 32GB of RAM will typically perform well – because it’s typically able to keep the entire database in memory
Tags : 
idera, sql, sql tools, server dbas, server management, ram
    
Idera
Published By: Micron     Published Date: Jan 12, 2017
Micron’s 9100MAX delivers on the NVMe promise with 69% better throughput and transaction rates plus much lower latency in PostgreSQL OLTP. Download this technical marketing brief to learn more.
Tags : 
    
Micron
Published By: Micron     Published Date: Jan 12, 2017
See how Micron® NVMe SSDs and Microsoft® SQL Server reach impressive OLTP transaction rates while drastically minimizing latency and simplifying configuration. Download this technical marketing brief now.
Tags : 
    
Micron
Previous   1 2    Next    
Search      

Add Research

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