database applications

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Published By: Vertica     Published Date: Jan 19, 2010
Pink OTC Market Inc. is the third largest U.S. equity trading marketing place. Learn how Pink OTC built a highly available and highly reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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pink, adr, data warehousing, vertica, dbms, database, analytical applications
    
Vertica
Published By: SAP     Published Date: Jul 17, 2012
Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.
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sap, infrastructure, database, data management, white paper, management, storage, business functions, business technology
    
SAP
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Since the SQL Access Group created the Call Level Interface, ODBC has become the most ubiquitous method for connecting to relational database sources. ODBC was developed to allow programmers to access relational data in a uniform manner, regardless of the database backend. ODBC translates those generic commands into the specific esoteric commands of the database backend, so the quality of the driver directly determines the performance of the database connectivity layer. Learn more today!
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data direct, open database, sql, call level interface, odbc, drivers, rdbms, 64-bit applications, single architecture, power consumption, rack space, scalability, oracle rac, database availability, service level agreements, slas, software development
    
DataDirect Technologies
Published By: MEDHOST     Published Date: Jul 03, 2014
Click here to learn more about 7 key questions that can help you choose the best patient portal solution for your facility.
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medhost, yourcommunitycare, patient portal, patient data, patient database, medical information, healthcare community, patient applications
    
MEDHOST
Published By: AWS     Published Date: Jul 24, 2019
Respond to customer feedback faster Organizations are demanding greater flexibility from the software they use. Yet, most line-of-business applications are built on top of rigid commercial databases that make them difficult and expensive to deploy. By building applications on top of Amazon Aurora, a cost-effective database solution from Amazon Web Services (AWS), independent software vendors (ISVs) can get away from commercial databases and the hassles they create for end customers. In this webinar, AWS Partner Network (APN) Premier Consulting Partner Onica will show you how to leverage Amazon Aurora to make it easier for customers to operate your software, in turn increasing sales. You will also learn how to leverage the breadth and depth of AWS services to improve developer productivity and become more responsive to customer feedback as a result.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Add more value to your business Independent Software Vendors (ISVs) are turning to the cloud to modernize their applications and get rid of their commercial database dependencies to improve application performance, lower total cost of ownership (TCO), and reach new customers. DB Best delivers the established processes and technology ISVs need to accelerate the modernization of applications still running on commercial databases to Amazon Aurora. This enables your customers to quickly get up-and-running on the cloud and drive greater business value through Amazon Web Services (AWS). View the webinar to learn how DB Best and AWS enable you to accelerate every stage of your application modernization journey – from evaluating the right migration path for your application, to following a proven and repeatable database migration process, to driving growth and reaching more customers.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Reduce costs and scale to meet customer expectations Software-as-a-service (SaaS) delivery models are being adopted faster than ever to meet business and consumer demand, prompting organizations to move their customer-facing applications to the cloud. As a result, Independent Software Vendors (ISVs) need to modernize their applications to deliver the flexibility and scale customers expect, without the restrictions and high costs of running applications on commercial databases. mLogica provides deep industry expertise, backed by powerful engineering, to help ISVs quickly modernize their applications on Amazon Aurora and drive greater business value with Amazon Web Services (AWS). Register for our webinar to learn how mLogica and AWS can help you transform your business on the cloud, so you can deliver modern, high-performing solutions to your customers.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Modernize your applications quickly Many organizations are finding their legacy technology to be inadequate due to its rigidity and high costs. In search of more flexible and cost-effective solutions, many are turning to the cloud. Most Independent Software Vendors (ISVs), however, still build their solutions on commercial databases that are expensive and time-consuming for their customers to deploy and maintain. This is a significant undertaking that can hinder adoption. To address these challenges head on, ISVs can modernize their applications on Amazon Aurora, a database offering from AWS that combines the reliability and performance of commercial databases with the cost-effectiveness and flexibility of open source solutions. In this webinar, you will learn how Virtusa, an AWS Partner Network (APN) Premier Consulting Partner, can accelerate your application modernization journey and help you grow your business. PTNR_ipc-database-migration-icon_245×155_Mar-2019.png View the webin
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AWS
Published By: Dell Software     Published Date: May 28, 2013
It only takes a few hours downtime to cripple your organization. Business partners and customers rely on IT services such as email and database applications, making operational continuity critical. Find out how you can be prepared: Building Higher IT Business Continuity in the Face of Disaster.
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dell quest, dell appassure, it recover, it business continuity
    
Dell Software
Published By: IBM     Published Date: May 28, 2014
The right test data management solution accelerates time to value for business-critical applications and builds relationships and efficiencies across the organization. IBM InfoSphere Optim Test Data Management closes the gap between DBAs and application developers by providing all teams with accurate, appropriately masked and protected data for their work. Developers can confirm that new application functionalities perform as expected. QA staff can validate that the application performs as intended based on the test cases, and that integrations work properly. And business leaders can be more confident that competitive functionality will be delivered on time with less risk.
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ibm, ibm infosphere, ibm optim solutions, ibm test data, test data management, dba, database management, big data, applications, business critical applications, integrations, it management, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Jun 07, 2016
In a multi-database world, startups and enterprises are embracing a wide variety of tools to build sophisticated and scalable applications. IBM Compose Enterprise delivers a fully managed cloud data platform so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, database, ibm compose enterprise, networking, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Jul 18, 2016
In this report, you will be able to answer the following: - What’s the value of a managed service & why should developers care about it? - Why is a managed service preferred over DIY management? - How does a managed service give you back hours in your day?
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ibm, analytics, dbaas, database as a service, developers, applications, software development, data management, business technology, data center
    
IBM
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, knowledge management, business technology
    
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: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance. But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock. If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects."
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Oracle PaaS/IaaS/Hardware
Published By: InMage     Published Date: Feb 18, 2009
Enterprises Applications - the Challenge Businesses today rely on enterprise applications such as SAP, PeopleSoft, Siebel, Oracle and Microsoft SQL to provide day to day business operations.
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inmage, dr-scout protection, database applications, tcp/ip, cost-effective disaster recovery, recovery point objectives, data management
    
InMage
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: Basho     Published Date: Apr 07, 2015
This whitepaper looks at why companies choose Riak over a relational database. We focus specifically on availability, scalability, and the key/value data model. Then we analyze the decision points that should be considered when choosing a non-relational solution and review data modeling, querying, and consistency guarantees. Finally, we end with simple patterns for building common applications in Riak using its key/value design, dealing with data conflicts that emerge in an eventually consistent system, and discuss multi-datacenter replication.
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basho, riak, relational database, nosql, common applications, simple deployments, it management, data management
    
Basho
Published By: Hosting.com     Published Date: Jan 21, 2011
This white paper demonstrates how companies that have moved their SQL databases to the cloud have overcome past performance and security concerns to increase operational efficiency, improve availability and scalability, reduce costs, gain a faster-time to-market, and achieve a better return on investment.
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hosting.com, sql database, cloud computing, virtualization, data-intensive application, performance, security
    
Hosting.com
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
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, business technology, data center
    
IBM
Published By: IBM     Published Date: Dec 18, 2013
The IBM DB2 pureScale feature is designed to address your current and future business needs for continuous availability. This white paper introduces DB2 pureScale—what it looks like, where it comes from, and how it allows you to scale out your database on a set of servers in an active-active configuration that combines high availability with truly transparent application scaling.
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ibm, ibm db2, purescale, availability, database, data center, servers, configuration, scaling, application scaling, applications, transparency, data management, business technology
    
IBM
Published By: Oracle Corp.     Published Date: Jan 16, 2013
As the amount and importance of corporate data grows, companies of all sizes are finding that they increasingly need to deploy high-availability database solutions to support their business-critical applications.
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oracle, database, 11g release, microsoft sql server 2008, business technology
    
Oracle Corp.
Published By: Oracle Corp.     Published Date: Mar 05, 2013
Emerging technologies such as cloud computing are essential, not only for the consolidation of database applications but also for the storage, availability, security and performance of increasingly complex data warehousing architectures.
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oracle, database, cbs, software integration, cloud computing ebook, sound hardware, business technology
    
Oracle Corp.
Published By: Progress Software     Published Date: Mar 12, 2014
Big data and cloud data are still hurling outward from the “big bang.” As the dust settles, competing forces are emerging to launch the next round of database wars—the ones that will set new rules for connectivity. Progress® DataDirect Cloud™ is well positioned to help organizations establish data control amid the chaos. How? Information workers at all levels require easy access to multiple data sources. With a premium cloud based connectivity service, they can count on a single, standardized protocol to inform their most business critical applications.
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progess software, datadirect, big data, cloud computing, connectivity, data management, cloud data, database wars, networking, software development, it management
    
Progress Software
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