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.
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.
WHITE PAPER:
With the volume of data today, traditional disk-based systems can not process quickly enough to make it fully useful. In this white paper, gain insight into the next generation of in-memory computing technology.
WHITE PAPER:
This paper introduces SAP In-Memory Computing technology concepts, explains how SAP HANA uses them to help deliver real-time business insight, and describes how synergies with Intel architecture-based server platforms drive solution value.
PRESENTATION TRANSCRIPT:
In this BeyeNETWORK transcript of a webcast, industry expert and author Cindi Howson details the current state of business intelligence (BI) adoption, the business impact and offers BI best practices from both organizational and technical perspectives.
WEBCAST:
Access this demo to see how you can draw quick insights from social media data using software-defined storage. Learn to analyze this data in near-real time and dynamically manage the data to keep storage costs low.
WHITE PAPER:
Consult the following white paper to uncover how to deliver more relevant offers, increase response rates, and ultimately create a happier customer base with the use of real-time marketing.
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.
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.
