INFOGRAPHIC:
Business truly moves more rapidly nowadays. Right-time is, more than ever, real-time. To keep pace, more organizations are investing in real-time data analytics so data is available to be analyzed, interpreted and visualized as it is created or changes in their source systems. Here are six benefits of real-time data for analytics applications.
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:
Download this TechTarget case study to learn how TIBCO achieved true marketing transformation through the use of TechTarget marketing technology.
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.
WHITE PAPER:
Business processes are expected to run lean and green. The Accounts Payable process that runs with optimal efficiency and accuracy will diagnose bottlenecks in seconds, generate minimal waste and keep vendors and partners happy with fast inquiry response and timely payments. Read this paper from Dolphin Corporation to learn about automating AP.
WHITE PAPER:
Learn more about the challenges of maintaining the visibility needed for today’s networking environments and how to address them appropriately.
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:
Organizations can upgrade or migrate to Oracle Database 11g with zero downtime. Using Oracle GoldenGate’s real-time data integration and replication capabilities, businesses can perform rolling upgrades, manage partial or phased migrations and upgrades, conduct data verification, and implement a reliable failback strategy.
