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Real Time IntelligenceReports
 
Real-time data and analytics transforming finance
sponsored by SearchFinancialApplications
EGUIDE: Did you know that in-memory technology is set to dramatically accelerate the rate at which reporting and analysis activities can be performed? As this expert e-guide explains, this ability will have a huge impact on financial organizations' business agility and risk management. Read on to learn more.
Posted: 23 Oct 2012 | Published: 22 Oct 2012

SearchFinancialApplications

IBM POWER8: Performance and Cost Advantages in Business Intelligence Analytics
sponsored by IBM
WHITE PAPER: This whitepaper examines a lineup of business intelligence technologies, including POWER-based servers, IBM Cognos for BI analytics and reporting, and IBM DB2 for data management. Read on to get a comprehensive look at these technologies and the performance and cost advantages they can provide for your business.
Posted: 30 Oct 2014 | Published: 30 Oct 2014

IBM

IBM: An Early Leader across the Big Data Security Analytics
sponsored by IBM
WHITE PAPER: Security data collection and analysis has become a big data dilemma – so why wouldn't you adopt a big data approach? This resource outlines why legacy analytics and SIEM tools are inefficient and explores how adopting a solution that combines real-time and asymmetric big data security analytics is vital to success.
Posted: 22 Jul 2013 | Published: 28 Jun 2013

IBM

Algorithmics and IBM Platform Computing Solution for Financial Markets
sponsored by IBM
WHITE PAPER: Read this paper to learn how spreading the computational demands of advanced risk analytics across a grid computing environment enables today's banks to cost-effectively perform risk simulations for their largest trading counterparties in a few minutes, comply with post-crisis regulations such as Basel III, and much more.
Posted: 03 Dec 2012 | Published: 31 May 2012

IBM

Big Data in the Data Center
sponsored by SearchDataCenter.com
EZINE: In this e-zine, discover how big data impacts the nitty-gritty of power and cooling, networking, storage and data center expansion, examples of companies that are updating their data centers to deal with big data, why characteristics of big data other than its size should be closely considered when planning changes to your data center, and more!
Posted: 29 Jan 2013 | Published: 29 Jan 2013

SearchDataCenter.com

Real-Time BI Gives Performance Envelope a Big-Time Push
sponsored by SAS
EBOOK: This expert handbook offers practical advice that will help your organization evaluate, plan, and manage a real-time business intelligence (BI) and analytics deployment.
Posted: 06 May 2013 | Published: 31 Dec 2012

SAS

Security Information Management Systems Aspire to Real-Time Security
sponsored by Hewlett-Packard Company
EGUIDE: Explore security information management (SIM) systems' capabilities for real-time security, learn why the definition of "real-time" may need altering, and uncover the factors preventing SIMs from attaining real-time status.
Posted: 24 Apr 2013 | Published: 24 Apr 2013

Hewlett-Packard Company

Business Intelligence: A Guide for Midsize Companies
sponsored by SAP APJ
WHITE PAPER: How can a small to midsized business (SMB) improve its ability to analyze data and transform it into useful information, thereby improving the overall quality of its decisions? With business intelligence (BI). Read this white paper for an introduction to the benefits of BI, approaches to implementing BI, what to look for in a BI product, and more.
Posted: 02 Nov 2012 | Published: 31 Dec 2011

SAP APJ

Presentation Transcript: Competing on Innovation
sponsored by Sybase, an SAP company
PRESENTATION TRANSCRIPT: Read this transcript to learn how to get all the speed, flexibility and processing power of a custom-built data warehouse.
Posted: 04 Nov 2009 | Published: 03 Nov 2009

Sybase, an SAP company

Vertica for Structured Finance
sponsored by Vertica Systems
WHITE PAPER: This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
Posted: 26 Aug 2011 | Published: 26 Aug 2011

Vertica Systems
 
 
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