Introduction To Data Analytics With Elasticsearch And Python

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Elasticsearch is a popular NoSQL system for storing and searching through both small and large amounts of data. Its ease of use, scalability, and robustness have made it the market leader in its segment.

The author of this course has been working with Elasticsearch since 2010. At the time, Elasticsearch was a one-man product in its infancy. Today, it’s a market leader in search and data analytics. This course offers lots of valuable advice, learned through trial and error from actual Elasticsearch usage in huge settings (billions of documents).

You’ll learn about:

  • The basics of Elasticsearch
    • Installation of Elasticsearch and Kibana
    • How Elasticsearch works
  • How to load both small and large amounts of data into Elasticsearch
  • Using Elasticsearch from Python
    • Using the official Elasticsearch Python client
    • How to best combine Python and Elasticsearch
  • Doing data analytics:
    • Advanced queries aggregations

Although we use Python primarily, we won’t shy away from other tools if they offer us a better, quicker way of doing things. In fact, you could follow this course, skip the Python parts, and still learn a ton of useful information.

This is a hands-on, get-it-done-with course that will teach you both the theory and the day-to-day usage to get you ready for working in the trenches!