Real Time Data Analytics Reports

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.

eGuide: Understanding SAP HANA
sponsored by Hewlett Packard Enterprise
EGUIDE: SAP has said that it considers its in-memory data analytics enabler HANA the centerpiece of its IT strategy going forward, and that it will eventually power all SAP applications. But how exactly does in-memory technology work, and how might it affect your IT operations? Read this expert e-guide to find out.
Posted: 02 Apr 2013 | Published: 02 Apr 2013

Hewlett Packard Enterprise

E-Guide: Developing a Strategy for and Implementing Real-time BI and Analytics
sponsored by Tableau Software
EGUIDE: Many organizations are realizing the interesting and paradoxical pattern that exists with BI applications: the more you use them, the more new and different requirements keep pouring in. Read this E-Guide and learn to gain a stronger understanding of your customers and business as well as to excel in today’s competitive market with real-time BI.
Posted: 15 Apr 2011 | Published: 15 Apr 2011

Tableau Software

Optimizing Your Return on Customer Attention with Oracle RTD
sponsored by Oracle Corporation
WHITE PAPER: Read this white paper to learn how business intelligence (BI) can combine your explicitly-defined business rules and automatically-identified statistical information to deliver the best possible content to your customers for every single interaction.
Posted: 01 Feb 2012 | Published: 01 Feb 2012

Oracle Corporation

Faster, Real-time Analytics: Data Should Work for you, Not the Other Way Around
sponsored by Hewlett-Packard Enterprise
WHITE PAPER: This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
Posted: 05 Sep 2012 | Published: 05 Sep 2012

Hewlett-Packard Enterprise

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

Presentation Transcript: SAP HANA - Insight into Business as it Happens
sponsored by IBM and SAP
PRESENTATION TRANSCRIPT: Read this presentation transcript to discover SAP's groundbreaking in-memory computing technology, SAP HANA, and learn how to leverage its analytical power to improve your BI strategy.
Posted: 03 Nov 2011 | Published: 03 Nov 2011

IBM and SAP

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

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

Transform insights into action IBM’s: Watson and the future of data
sponsored by IBM
WHITE PAPER: Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
Posted: 09 Jun 2011 | Published: 06 Jun 2011

IBM