Udemy

Using Elasticsearch and Kibana

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  • 1,658 Students
  • Updated 1/2020
4.0
(93 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 8 Minute(s)
Language
English
Taught by
Loony Corn
Rating
4.0
(93 Ratings)

Course Overview

Using Elasticsearch and Kibana

Scalable Search and Analytics for Document Data

Elasticsearch wears two hats: It is both a powerful search engine built atop Apache Lucene, as well as a serious data warehousing/BI technology.

This course will help you use the power of ES in both contexts

ES as search engine technology:

  • How search works, and the role that inverted indices and relevance scoring play
  • The tf-idf algorithm and the intuition behind term frequency, inverse document frequency and field length
  • Horizontal scaling using sharding and replication
  • Powerful querying functionality including a query-DSL
  • Using REST APIs - from browser as well as from cURL

ES as data warehouse/OLAP technology:

  • Kibana for exploring data and finding insights
  • Support for CRUD operations - Create, Retrieve, Update and Delete
  • Aggregations - metrics, bucketing and nested aggs
  • Python client usage


Course Content

  • 7 section(s)
  • 59 lecture(s)
  • Section 1 You, This Course, and Us
  • Section 2 Introducing Elasticsearch
  • Section 3 CRUD Operations in Elasticsearch
  • Section 4 The Query DSL (Domain-Specific Language)
  • Section 5 Aggregations
  • Section 6 Elasticsearch and Python
  • Section 7 Kibana

What You’ll Learn

  • Construct robust, scalable search for production use in web and enterprise apps
  • Query ES using the ES Domain Specific Language
  • Perform aggregations to extract insights and run analytics on ES
  • Interface with ES using Python


Reviews

  • S
    Shaikha Alsalem
    3.0

    It is a good match. However, the instructor speaks from written test mostly and have few walk-through on implementation and errors that may occur.

  • R
    Rafael Ventura
    3.0

    I looked forward to find homework. Anyway, thanks for offering this course

  • T
    Thomas Müller
    5.0

    Sehr gute Schritt-für-Schritt-Erklärungen. Basis sind die JSON In- und Outputs, anhand derer man gut versteht, was eigentlich passiert

  • S
    Sidhartha Mallik
    5.0

    good pace and clear explanations - but still not able to correlate how to integrate web apps with Elastic Search.but overall REST CRUD operations and Cluster explanations is pretty good.

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