[New Whitepaper] Real-Time Data Aggregation

Fast response times generate costs savings and greater revenue. Enterprise data architectures are incomplete unless they can ingest, analyze, and react to data in real-time as it is generated. While previously inaccessible or too complex — scalable, affordable real-time solutions are now finally available to any enterprise.

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Read Infochimps’ newest whitepaper on how Infochimps Cloud::Streams is a proprietary stream processing framework based on four years of experience with sourcing and analyzing both bulk and in-motion data sources. It offers a linearly and fault-tolerant stream processing engine that leverages a number of well-proven web-scale solutions built by Twitter and Linkedin engineers, with an emphasis on enterprise-class scalability, robustness, and ease of use.

In this whitepaper, you’ll learn:

  • Definitions & History – batch processing, stream processing
  • Comparison of Stream vs. Batch for Selected Use Cases – includes industry use case: aviation
  • Why Cloud::Streams is the leading stream processing framework

DOWNLOAD1 [New Whitepaper] Real Time Data Aggregation




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