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Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle     Published Date: Apr 16, 2018
O gerenciamento de banco de dados é caro e complicado. Conforme aumenta o número de aplicativos e bancos de dados, os custos e complicações podem multiplicar-se. Uma solução, seria um sistema de hardware e software projetado especificamente para que o software de banco de dados otimize as operações de banco de dados, tanto para o desempenho quanto para a simplificação administrativa. O Oracle Exadata é a única plataforma que proporciona desempenho ideal do banco de dados e eficiência para dados mistos, análises e cargas de trabalho OLTP. Com uma gama completa de opções de implantação, ele permite que você execute seu banco de dados Oracle e cargas de trabalho de dados onde e como desejar — on-premise, na nuvem da Oracle, na nuvem do Cliente em seu data center ou em qualquer combinação desses modelos.
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executar, banco, dados, oracle, exadata
    
Oracle
Published By: Oracle     Published Date: Apr 16, 2018
La gestión de bases de datos resulta costosa y complicada. A medida que aumenta la cantidad de aplicaciones y de bases de datos, se pueden multiplicar los costos y las complicaciones. Una solución sería un sistema hardware y software diseñado específicamente para que el software de la base de datos optimice las operaciones, tanto para simplificar el rendimiento como el aspecto administrativo. Exadata de Oracle es la única plataforma que ofrece un rendimiento óptimo de la base de datos y eficacia para la combinación de datos, análisis y cargas de trabajo para el procesamiento de transacciones en línea (OLTP). Con una amplia variedad de opciones de implementación, puede ejecutar sus bases de datos y cargas de trabajo de datos de Oracle en el lugar que quiera y de la manera que quiera, en la Nube de Oracle, en Cloud at Customer, en su data center o cualquier combinación de estos modelos.
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ejecutar, base, datos, oracle, exadata
    
Oracle
Published By: Microsoft     Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in
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Microsoft
Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap, sql, query, data warehouse, oltp
    
Vertica
Published By: Vertica     Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms, mpp
    
Vertica
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.
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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.
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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: 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.
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storage, servers, cloud computing, architecture, convergence, infrastructure
    
CDW
Published By: VMTurbo     Published Date: Apr 14, 2015
Seconds of Delay Have Multi-Million Dollar Consequences, Demand-Driven Control Changes the Game Principled Technologies deployed VMTurbo’s Demand-Driven Control platform in their virtualized data center. VMTurbo assures application performance while maximizing infrastructure utilization. Principled Technologies implemented VMTurbo’s recommendations in its virtual environment with an OLTP application, and saw significant improvements in performance. Learn how Principled Technologies achieved a 37% decrease in latency and 23% increase in orders per minute (OPM).
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vmturbo, datacenter, performance, production, operations, vmware, memory, storage, speed, reallocation, latency
    
VMTurbo
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
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idera, sql, sql tools, server dbas, server management, ram
    
Idera
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.
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ibm, ibm puredata system, transaction, datacenter, data management, integrated system, configuration, consolidation
    
IBM
Published By: Oracle Corp.     Published Date: Jan 16, 2013
As business operations become more complex, the demand for change in IT increases, along with the associated risks that must be mitigated.
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oracle, 11g, database, oltp, oracle exadata
    
Oracle Corp.
Published By: Oracle Corporation     Published Date: Mar 28, 2013
Learn about this optimized package of software, servers and storage that can support OLTP, DW or mixed application workloads and creates consolidation economies of scale in the data center.
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oltp, application workload, data center, storage, servers
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: Mar 28, 2013
Download this data sheet to learn how the Exadata Storage Expansion Rack delivers the industry’s highest levels of performance, scalability, capacity, and reliability.
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storage rack, storage, expansion rack, scalability, capacity, reliability, database, oltp, data warehouseing
    
Oracle Corporation
Published By: NEC     Published Date: Aug 26, 2014
In addition to high reliability and availability, enterprise mission critical applications, data centers operating 24x7, and data analysis platforms all demand powerful data processing capabilities and stability. The NEC PCIe SSD Appliance for Microsoft® SQL Server® is a best-practice reference architecture for such demanding workloads. It comprises an Express 5800 Scalable Enterprise Server Series with Intel® Xeon® processor E7 v2 family CPUs, high-performance HGST FlashMAX II PCIe server-mounted flash storage, and Microsoft® SQL Server® 2014. When compared with the previous reference architecture based on a server with the Intel® Xeon® processor E7 family CPUs, benchmark testing demonstrated a performance improvement of up to 173% in logical scan rate in a data warehouse environment. The testing also demonstrated consistently fast and stable performance in online transaction processing (OLTP) that could potentially be encountered.
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sql, datacenter, servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability, enterprise, availability, serviceability, processor
    
NEC
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.
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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: NetApp     Published Date: Dec 08, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate.
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netapp, hybrid, flash pool, ssd, hdd, iops, oltp, demartek
    
NetApp
Published By: Oracle     Published Date: Mar 22, 2018
s your information technology (IT) organization pressured to get more work done with fewer people or on a constricted budget? Do you need to make IT a competitive asset rather than a cost center? Does your business struggle with slow software applications or data that's too often unavailable? If you answered "yes" to any of these questions, it's time to take a close look at Oracle Exadata, the world's fastest database machine exclusively designed to run Oracle Database. It is the first database machine optimized for data warehousing, online transaction processing (OLTP), and database consolidation workloads as well as in-memory databases and database as a service (DBaaS).
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Oracle
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.
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Dell PC Lifecycle
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