In this chapter, we took a leap forward to explore how to shape up our data. We understood how to quickly explore the data that is indexed in Elasticsearch. We also created different visualizations to see how to slice and dice the data with various charts and find useful insights. You learned how to use pie charts, bar charts, and charts based on time series to visualize the correlation between multiple variables and how to perform exploratory data analysis using Kibana. We created a pretty dashboard for our frequently used charts that can be shared and migrated to a different server.

So far, we covered a full cycle of how to perform analytics on the massive data in your Hadoop filesystem by importing it to Elasticsearch and visualizing it using Kibana. In the next chapter, we will take a look at how Elasticsearch and Apache Storm can be used for real-time analytics. Using real-world examples, we will see how to solve the machine learning problems of classification and how data mining...