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Big Data Visualization

Big Data Visualization

By : James D. Miller
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (9 chapters)
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Splunk visualization -  real-time log analysis

Enterprise applications typically continuously generate logging or messaging data in real time, allowing support personnel to monitor user activities, application events, and even the performance of processing within the application or even the application itself by reviewing this information.

The advantage of being familiar with this data may seem obvious, for example, some uses may be:

  • Monitoring memory or space usage may allow administrators to be proactive and address shortages before there is an application outage
  • Identifying trends in application performance can allow support personnel to resolve conflicts or errors causing degraded performance before reaching unacceptable levels

The opportunity for using application server logged information to improve performance and the level of support for an application is conceivably infinite.

Businesses are now realizing that application logging is an untapped resource in that it holds a wealth...

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