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
1
Section 1: Fundamentals and Core APIs
8
Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
13
Section 3: Programming with the Elasticsearch Client
16
Section 4: Elastic Stack
20
Section 5: Advanced Features

Section 5: Advanced Features

In this section, you will be looking into some hot topics, such as machine learning and Apache Spark support with Elasticsearch. You will also be shown how to solve a text classification problem by using Elasticsearch and scikit-learn. You will also learn how to read data from an Elasticsearch index, perform some computations using Spark, and then write the results to another Elasticsearch index. And, at the end of the section, you will need to put most of what you learned in the previous chapters together to build the final project, that is, building Analytics RESTful Services.

This section is comprised the following chapters:

  • Chapter 16, Machine Learning with Elasticsearch
  • Chapter 17, Spark and Elasticsearch for Real-time Analytics
  • Chapter 18, Building Analytics RESTful Services