Book Image

Advanced Elasticsearch 7.0

By : Wai Tak Wong
Book Image

Advanced Elasticsearch 7.0

By: Wai Tak Wong

Overview of this book

Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks. You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch. By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch.
Table of Contents (25 chapters)
Free Chapter
Section 1: Fundamentals and Core APIs
Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
Section 3: Programming with the Elasticsearch Client
Section 4: Elastic Stack
Section 5: Advanced Features

Working with Kibana to visualize the analytics results

Ensure that Kibana is running before we perform the following step-by-step instructions. We are going to draw the Bollinger Band on the Kibana Visualize page:

  1. Similar to the Creating index pattern subsection of Chapter 16, Machine Learning with Elasticsearch, let's create a Kibana index pattern named cf_etf_history_data, as shown in the following screenshot:
  1. Use a web browser and type http://localhost:5601/app/kibana#/visualize?_g=() to reach the Kibana Visualize page. We will see a panel that is similar to the following screenshot:

  1. Click the + button cover, which is by the search box, to get into the New Visualization panel, as shown in the following screenshot:
  1. Click the Line button to create a line chart and Kibana will pop up a new panel to let us select the index pattern for the new line input. Select...