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Relational Database Management Systems

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Data Integration: Top Strategies for Managing Data Growth
sponsored by SearchDataManagement
EBOOK: An organization's unstructured and semi-structured information is not typically a good fit for relational databases. And it also adds to the data integration workload- and challenges- for IT managers and staff. Access this guide for insight and practical advice on managing integration projects involving large amounts of data- specifically big data.
Posted: 28 Feb 2013 | Published: 28 Feb 2013

SearchDataManagement

Actian Video - Interview with Sean Anderson
sponsored by Rackspace
VIDEO: View this brief video to learn about new offerings from a managed cloud provider based around the Apache Hadoop technology. Additionally, see how two IT organizations collaborated to create an SQL relational database management system designed for high performance in analytical database applications.
Posted: 25 Sep 2014 | Premiered: 29 Oct 2013

Rackspace

DB2 10 for z/OS: The Smarter Faster Way to Upgrade
sponsored by IBM
EBOOK: With support for IBM DB2 for z/OS Version 8 retiring in April 2012, customers will have the option to skip a level and upgrade straight to DB2 10. This e-book is designed to help customers decide whether they are a good candidate to make this leap and provides best practices for planning an effective migration strategy.
Posted: 13 Feb 2012 | Published: 31 Oct 2011

IBM

IDC White Paper By Carl W. Olofson. IBM's Secret Weapon: The Power, Flexibility, and Self-Managing Capability of Informix Dynamic Server
sponsored by IBM
ANALYST REPORT: Informix Dynamic Server (IDS) represents a technology that is too significant to compromise or to try to blend into a more general product line. That is why IBM decided to boost investment in IDS development and promote it as a premier relational database management system (RDBMS) for high-volume transaction applications.
Posted: 19 Oct 2009 | Published: 19 Oct 2009

IBM

Oracle Real Application Clusters (RAC) 11g Release 2
sponsored by Oracle Corporation
WHITE PAPER: Read this white paper to learn how to save on IT resources while supporting new and existing business applications with Oracle Real Application Cluster (RAC)'s high availability and scalability.
Posted: 05 Jul 2012 | Published: 30 Nov 2010

Oracle Corporation

Using Oracle TimesTen to Accelerate Oracle Database - Webcast
sponsored by Oracle Corporation
WEBCAST: Attend this free Webcast to learn how Oracle TimesTen In-Memory Database is deployed as a cache for Oracle Database in order to accelerate enterprise applications that need to run in real-time.
Posted: 08 Mar 2007 | Premiered: Mar 15, 2007, 14:00 EDT (18:00 GMT)

Oracle Corporation

Relational Modeling with UML
sponsored by IBM Software Group
WHITE PAPER: This white paper explains the basic concepts behind relational modeling, how it applies to databases and how it is implemented using UML.
Posted: 20 Jun 2007 | Published: 01 Jan 2003

IBM Software Group

Breaking the Disk Barrier: In-Memory Databases
sponsored by Sybase, an SAP company
WEBCAST: In-memory database technology is emerging as a key means of boosting performance in mainstream IT applications. Carl Olofson from IDC discusses how an in-memory database strategy can provide better high speed, high volume data management for your applications. ASE's new In-memory Databases Option is also described. Watch this webcast to learn more.
Posted: 15 Jun 2010 | Premiered: Jun 15, 2010

Sybase, an SAP company

Comcast Revolutionizes Network Performance Data Analysis
sponsored by Vertica Systems
CASE STUDY: After briefly considering and rejecting an open-source tool, Harvell and his team selected Vertica Analytic Database 2.0, as it is a high-speed, relational SQL database management system.
Posted: 12 Nov 2008 | Published: 12 Nov 2008

Vertica Systems

Proven strategies for archiving complex relational data
sponsored by IBM
WHITE PAPER: This white paper explains how the IBM Optim Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data both practical and desirable.
Posted: 08 Jun 2009 | Published: 30 Dec 2008

IBM
 
 
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