Real Time Data Integration Software Reports

Real-Time vs. Near-Real-Time Analytics
sponsored by Guavus
EGUIDE: This expert guide gives you an understanding of the differences between real-time and near-real-time analytics and explores cloud platform choices are when it comes to real-time analytics. In addition, explore why telcos need real-time analytics to fuel their success and how to accomplish this.
Posted: 25 May 2018 | Published: 23 May 2018

Guavus

California Institute for Telecommunications and Information Technology (Calit2) Uses Kognitio WX2 for CAMERA Project
sponsored by Kognitio
CASE STUDY: In this case study Calit2 and Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) develop a cost-effective, high-performance environment where researchers have unlimited access to the existing genomics data.
Posted: 28 Jul 2008 | Published: 25 Jul 2008

Kognitio

Securities and capital markets
sponsored by IBM
WHITE PAPER: IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
Posted: 07 Jul 2011 | Published: 07 Jul 2011

IBM

The Impact of Social Graphing Analysis on the Bottom Line: How Zynga Performs Graph Analysis with the Vertica Analytics Platform
sponsored by Vertica Systems
WHITE PAPER: It may be surprising to find that Zynga is performing some of the most advanced analytics anywhere. With a user base of over 250 million monthly active users, this white paper describes why Zynga uses the Vertica Analytics Platform to improve its business and game features.
Posted: 26 Aug 2011 | Published: 26 Aug 2011

Vertica Systems

New Paradigms for High Performance Analytical Computing
sponsored by Vertica Systems
WHITE PAPER: Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

Tip Guide: Tips for in-memory analytics with SAP HANA
sponsored by SAP America, Inc.
EGUIDE: In this e-guide, learn how SAP HANA is affecting SAP landscapes.
Posted: 18 Oct 2011 | Published: 18 Oct 2011

SAP America, Inc.

eGuide: Should you take the road to SAP HANA?
sponsored by SAP America, Inc.
EGUIDE: Read this expert e-guide to uncover important points to consider about SAP's much-hyped, latest innovation, HANA, including ROI calculations, relevant use cases, best practices for use with ERP software, required skills for deployment, and more.
Posted: 02 Apr 2013 | Published: 02 Apr 2013

SAP America, Inc.

Sybase CEP Implementation Methodology for Continuous Intelligence
sponsored by Sybase, an SAP company
WHITE PAPER: This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
Posted: 28 Oct 2010 | Published: 28 Oct 2010

Sybase, an SAP company

Introducing The SAP High Performance Analytic Appliance (SAP HANA)
sponsored by IBM and SAP
WHITE PAPER: In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
Posted: 26 Oct 2011 | Published: 26 Oct 2011

IBM and SAP

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