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dbms

Results 26 - 41 of 41Sort Results By: Published Date | Title | Company Name
Published By: Vertica     Published Date: Feb 23, 2010
Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.
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ovum, vertica, analytical databases, dbms, technology audit, mpp, rdbms, grid computing
    
Vertica
Published By: Vertica     Published Date: Jul 23, 2008
Read how Comcast, the largest cable communications company in the U.S., is using Vertica Analytic DBMS able to quickly collect and analyze data being generated by millions of network devices to ensure quality of service and accuracy of capacity planning to ensure a consistently good customer experience.
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vertica, comcast, data analysis, proliant, rdmbs, networking, telecommunications, bandwidth management, traffic management
    
Vertica
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: Vertica     Published Date: Dec 09, 2008
BlueCrest Capital Management is a leading European hedge fund, with $15B in assets-under-management. Learn how BlueCrest uses Vertica Analytic DBMS to obtain real-time analysis while simultaneously loading vast amounts of new market data.
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vertica, data management, data warehousing, dbms, data mining, data source, data, security, business intelligence
    
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: MarkLogic     Published Date: Nov 30, 2017
The OPDBMS market in 2017 brings cloud and fully managed options center stage for execution. Market-defining vision includes features for machine learning, serverless scenarios and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.
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MarkLogic
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, database development
    
DataDirect Technologies
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, it management
    
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, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? 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, ibm big sql, sql, database management, database management technology, software, tables, queries, data platform, big sql architecture, programming language, relational database management system, rdbms, database development
    
IBM
Published By: Cloudant, an IBM Company     Published Date: May 15, 2014
Learn how a Cloudant account can be hosted within a multi-tenant Cloudant cluster, or on a single-tenant cluster running on dedicated hardware hosted within a top-tier cloud provider like Rackspace or IBM SoftLayer.
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cloudant, cloud, cloud computing, data layer, dbms, dsaas, saas, data replication, data delivery, distributed computing
    
Cloudant, an IBM Company
Published By: Objectivity     Published Date: Aug 21, 2009
There is often a great deal of confusion in determining whether an object database management system (ODBMS) is right for you. Most of this confusion can be resolved by focusing on your application's requirements. In those situations where the application requires the very clear advantages of an ODBMS, choosing which ODBMS becomes a continuation of the exercise of analyzing those application requirements.
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database performance, object-oriented, database development, objectivity, software development, high availability
    
Objectivity
Published By: Objectivity     Published Date: Aug 21, 2009
As business users expand to newer types of applications, and grow older ones, their attempts to use RDBMS encounter the "Relational Wall," where RDBMS technology no longer provides the performance and functionality needed. This paper measures the wall, explains what model and architectural differences cause it, how to foresee it, and how to avoid it.
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database, rdbmss, object, object-oriented, object oriented, database performance, database development, database architecture, database model, dba, database administration, database administrator, dba, objectivity, software development, c++, middleware, web development, web services
    
Objectivity
Published By: NetApp     Published Date: Mar 05, 2018
By 2018, more than 70% of new DBMS deployments will leverage cloud for at least one use case. Read the Gartner report State of the Operational DBMS Market, 2017 and get the latest insights and recommendations on DBMS strategy. Discover how to: •Evaluate modern data management capabilities before adopting new DBMS products •Lead a nonrelational technology assessment to determine which DBMS best meets your business requirements • Deploy a multimodel DBMS and reduce complexity in your data center
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Datastax     Published Date: Aug 07, 2018
Relational databases had their day and are still viable for certain use cases, but the advent of the cloud and subsequent proliferation of cloud applications is putting an almost unmanageable burden on their capabilities. Read this eBook to learn why your RBMS fails at scale, and why it's no longer a viable option for today's distributed, super fast-paced, cloud-friendly world.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
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