Using ElasticSearch for Big Data Analysis

Using ElasticSearch for Big Data Analysis

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Collecting data is good and collecting Big Data is better, but analyzing Big Data is not easy. It requires knowledge of enterprise search engines for making content from different sources like enterprise databases, social media, sensor data, etc. searchable to a defined audience. ElasticSearch, Apache Solr, and Sphinx are some of the free and open-source enterprise search software.

While applications of ElasticSearch have advanced to Machine Learning, in this blog, I have tried to summarize a simple use case for Big Data analysis using ElasticSearch. ElasticSearch recently added Machine Learning algorithms to its enterprise stack for the purpose of finding anomalies in time-series log data.

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May 28, 2017 at 10:39AM

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