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Streaming Data Analysis.pdf

apama-analytics-e7-v3-white-paper.pdf
Preview of Streaming Data Analysis
🔗 Source: softwareag-usa.s3.amazonaws.com
📊 Size: 763 KB
👤 Author: Intel Corporation
⬇️ Downloads: 163

Summary

Enterprises employ event processing systems using streaming data analytics to uncover hidden events and trends in streaming data, including customer shopping patterns, credit-card fraud, and financial-market trading abuse. Real-time analytics platforms turn relentless streams of data into meaningful insights, enabling quick responses to changing business conditions. Use cases include customer-experience management, real-time personalization, fraud detection, foreign exchange e-commerce, market surveillance, and IoT. The Software AG Apama Streaming Analytics platform, powered by the Intel Xeon processor E7 v3 family, quickly turns data streams into real-time metrics, enabling intelligent actions and visualizations. Apama's event-driven design combines event processing, messaging, in-memory data management, and visualization, capturing streaming data from devices and identifying meaningful events and patterns.

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Description

Enterprises employ event processing systems using streaming data analytics to uncover hidden events and trends in streaming data, including customer shopping...

Technical Information

  • File Format: PDF
  • File Size: 763 KB
  • Pages: 7
  • Language: EN
  • Author: Intel Corporation
  • Total Downloads: 163
  • Last Updated: 2 hours ago

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This PDF document about Streaming Data Analysis provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Streaming Data Analysis.

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