database application

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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, it management, data management, data center
    
IBM
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: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
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: Jun 07, 2016
The database you pick for your next application matters now more than ever. It can be difficult, and oftentimes impossible, to quickly join today's data into the relational model. Learn how a NoSQL database can act as a viable alternative to or compliment an existing relational database.
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ibm, nosql database, database, analytics, networking, knowledge management, business technology
    
IBM
Published By: IBM     Published Date: Jun 07, 2016
Once you know that a document oriented database is the best database for your application, you will have to decide where and how you'll deploy the software and its associated infrastructure. Download this white paper for an outline of the deployment options available when you select IBM® Cloudant® as your JSON store.
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ibm, cloudant managed service, cloudant local, apache couchdb, networking, data 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
There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft? What about polyglot persistence and the need for advanced analytics? If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions available to meet your app’s unique needs. You’ll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.
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data analysis, key value, document database, analytics
    
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: IBM     Published Date: Oct 13, 2017
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned X-Force research, provides security intelligence to help organizations holistically protect their infrastructures, data and applications, offering solutions for identity and access management, database security, application development, risk management, endpoint management, network security and more. These solutions enable organizations to effectively manage risk and implement integrated security for mobile, cloud, social media and other enterprise business architectures. IBM operates one of the world’s broadest security research, development and delivery organizations, monitors 15 billion security events per day in more than 130 countries, and holds more than 3,000 security patents.
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it security, malware, malware protection, virus prevention, ibm, threat intelligence
    
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: CrownPeak     Published Date: Jun 30, 2009
Congratulations you've decided to embark on the journey to implement a content management system (CMS) for your Web site. This document assumes that you have already built the business case for purchasing a CMS and has been signed off on by the appropriate stakeholders. Learn more today!
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crownpeak, cms, content management system, web site development, infocenter, hosted services, open source software, project definition, rfp, request for proposal, vendor strengths, os/ databases, hardware, infrastructure, document management, portal, licensing, workflow management, enterprise integration, enterprise application
    
CrownPeak
Published By: CrownPeak     Published Date: Jun 30, 2009
This is the second of a three part CrownPeak White Paper exploring Why Content Marketing Is Online Marketing. In this series we present the new idea that Web content marketing is the central and most important tenet of online marketing. Today, the function of online marketing revolves around the Web which, itself, revolves around content. So as we talk about online marketing/marketers and content marketing/marketers consider them and yourself one and the same. Learn more today!
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crownpeak, roi, web content marketing, cms, content management system, web site development, infocenter, hosted services, open source software, project definition, rfp, request for proposal, vendor strengths, os/ databases, hardware, infrastructure, document management, portal, licensing, workflow management
    
CrownPeak
Published By: LeadLife Solutions     Published Date: Oct 20, 2008
If your sales team loves your ABC lead-ranking system because it really works, good for you. However, if your Hot-Warm-Whatever system is leaving the sales team cold, there is a better way. A robust database and campaign management application helps marketing score every interaction by every lead, online and offline, and prioritize leads automatically for appropriate next steps...
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leadlife solutions, e-newsletter, blog, telemarketing, trade show, direct mail, webinar
    
LeadLife Solutions
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: Dell     Published Date: Nov 17, 2013
This paper explains the challenges involved in proactive database management and identifies the key features to look for in database management solutions.
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database management, dba, dbas, dell, enterprise database, raw data, data overload, application performance management, apm, data storage
    
Dell
Published By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
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ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance, storage device, data storage capacity, data center, environmental management, infrastructure, virtual machine, it operations, consolidate servers, virtualized environments, storage architect, databases application integration, real-time compression appliance
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
This analyst paper highlights X6 business benefits that include dramatically reduced database cost with X6 deployment, application transparency, and superior price/performance.
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ibm, ibm x6 solutions, enterprise architecture, database management, database cost, application management, application transparency, x6 deployment, servers, x6 server
    
IBM
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
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