Real Time Data Analytics Reports

Real-time analytics extends the reach of its business value more and more
sponsored by TechTarget ComputerWeekly.com
EGUIDE: Organisations increasingly value data that is as current as possible. And there are other sectors where real-time data analytics and data visualisation are proving valuable. In this e-guide, we discuss how continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across several industry sectors.
Posted: 14 Dec 2022 | Published: 14 Dec 2022

TechTarget ComputerWeekly.com

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

E-Guide: Bringing Value to Application Monitoring Through SIM
sponsored by TechTarget Security
EGUIDE: This expert e-guide describes the value that security information and management systems (SIMs) can bring to both application monitoring and real-time security. See how you can get the most out of SIM by reading on now.
Posted: 05 Dec 2012 | Published: 05 Dec 2012

TechTarget Security

NASDAQ Deploys SQL Server 2005 to Support Real-Time Trade Booking and Queries
sponsored by Microsoft
CASE STUDY: NASDAQ, which became the world's first electronic stock market in 1971, and remains the largest U.S. electronic stock market, is constantly looking for more-efficient ways to serve its members.
Posted: 06 Jul 2006 | Published: 01 Jan 2005

Microsoft

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

Research Report Excerpt: Designing a framework for BI and analytics success
sponsored by BeyeNETWORK
EBOOK: In this expert excerpt, Wayne Eckerson explores why big data has become a hot topic. Learn how analytics allows you to make something of your data and deliver value to your organization.
Posted: 28 Oct 2011 | Published: 28 Oct 2011

BeyeNETWORK

Extract from book: "In-Memory Data Management"
sponsored by SAP America, Inc.
EBOOK: SAP in-memory computing is putting the "r" back in "real-time" computing by bringing together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications at a lower total cost. Get an in-depth look at how this technology will impact business.
Posted: 29 Aug 2011 | Published: 01 Sep 2011

SAP America, Inc.

Balance the power and challenges of IT monitoring
sponsored by TechTarget IT Operations
EBOOK: IT monitoring tools deliver plenty of data, but sometimes, the volume can be a problem. It's a challenge to know how closely to monitor infrastructure and applications, especially when some tools monitor apps in real time.
Posted: 29 May 2020 | Published: 29 May 2020

All resources sponsored by TechTarget IT Operations

Log Management Best Practices
sponsored by Hewlett Packard Enterprise
PRESENTATION TRANSCRIPT: In this presentation transcript, find out best practices in log management and how it affects the use of security dashboards. Also learn how log management differs from security information and event management (SIEM).
Posted: 14 Apr 2010 | Published: 14 Apr 2010

Hewlett Packard Enterprise

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