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Book Overview & Buying
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Table Of Contents
Elasticsearch Query Language the Definitive Guide
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In this chapter, we explored how Elasticsearch and ES|QL can be used for data analysis. Presented with a business problem, we learnt how to explore our dataset on small and large scope, showcasing how easy it is to pivot across multiple dimensions with ES|QL.We were able to provide valuable insights, iteratively altering our queries and approach to refine our findings. We also saw how we could combine multiple datasets together to expand our investigation scope. Finally, we’ve showcased the native integration of ES|QL into Kibana visualization tools, allowing us to create an impactful message.In the next chapter, we will explore how ES|QL can be used to process unstructured text data, allowing users to create read-time insights and accelerate their time to value.
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