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Big Data in Motion
sponsored by IBM
EBOOK: When large information sets are in transit, bottlenecks inevitably occur. CIOs must overcome these obstacles in order to extract real value from their data. In this SearchCIO handbook, we confront the obstacles posed by big data in motion.
Posted: 18 Mar 2014 | Published: 18 Mar 2014

IBM

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

Presentation Transcript - Unique Considerations for ISVs Moving to a SaaS Application Model: Part Two
sponsored by SAP America, Inc.
PRESENTATION TRANSCRIPT: Amidst the wealth of literature aimed at enterprises hoping to leverage Software as a Service (SaaS) applications it can be difficult for independent software vendors (ISVs) to find useful information and best practices to ease their transition to cloud delivery. Read this in-depth presentation transcript to find out what ISVs need to know.
Posted: 12 Nov 2012 | Published: 12 Nov 2012

SAP America, Inc.

Building XQuery Based Web Service Aggregation and Reporting Applications
sponsored by Progress DataDirect
WHITE PAPER: XQuery has emerged as an ideal way to aggregate data from Web services, relational databases, and other applications that employ XML.
Posted: 31 Jul 2008 | Published: 01 Jan 2007

Progress DataDirect

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

Postgres Plus® Technical Evaluation Guide
sponsored by EnterpriseDB Corporation
WHITE PAPER: This guide outlines the common steps that people go through when they are interested in evaluating an open source database (e.g. one or both of the Postgres Plus products). This guide will also provide links to other documents/collateral that will help you accomplish each step. Read on to learn about these common steps in evaluation in more detail.
Posted: 16 Jun 2010 | Published: 15 Jun 2010

EnterpriseDB Corporation

Cost/Benefit Case for IBM: Comparing Costs and Capabilities with Oracle Database 11g
sponsored by IBM
WHITE PAPER: This report compares the costs and compression, automation, workload management, and optimization capabilities of DB2 Advanced Enterprise Server Edition (AESE) versus Oracle Database 11g. It also emphasizes the importance of performance management tooling as a means of lowering total cost of ownership (TCO).
Posted: 21 Feb 2012 | Published: 31 Jan 2012

IBM

Specialty Analytics Servers
sponsored by Sybase, an SAP company
VIDEOCAST: Businesses are constantly producing complex that needs to be analyzed quickly for critical business needs and decisions. Watch this videocast to learn how Specialty Analytics Servers outperform traditional transaction processing systems in managing the deluge of data and information that is swamping businesses all around the world.
Posted: 23 Apr 2010 | Premiered: Apr 23, 2010

Sybase, an SAP company

NoetixViews® for Oracle® E-Business Suite Global Extension
sponsored by Noetix Corporation
WHITE PAPER: NoetixViews transforms the complexity of the Oracle E-Business Suite database into recognizable business views of data that are used to create operational reports and ad hoc queries. NoetixViews enables faster, easier and more cost-effective access to information stored in the Oracle E-Business Suite data structure. Read this paper to learn more.
Posted: 04 Aug 2010 | Published: 04 Aug 2010

Noetix Corporation

Ovum Technology Review of Vertica’s Analytic Database
sponsored by Vertica Systems
WHITE PAPER: Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems
 
 
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