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DevelopmentProgramming LanguagesElasticsearch

Using Elasticsearch and Kibana

Scalable Search and Analytics for Document Data
Rating: 4.0 out of 54.0 (92 ratings)
1,635 students
Created by Loony Corn
Last updated 1/2020
English
English [Auto]

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

Requirements

  • A basic understanding of HTTP and JSON (Javascript Object Notation)
  • Python is helpful for the portions of the course that deal with the ES Python client

Description

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


Who this course is for:

  • Developers looking to add robust enterprise search functionality
  • Business analysts looking to use ES and Kibana for business intelligence
  • Data professionals looking to use the ElasticSearch search engine

Instructor

Loony Corn
An ex-Google, Stanford and Flipkart team
Loony Corn
  • 4.2 Instructor Rating
  • 25,215 Reviews
  • 148,990 Students
  • 67 Courses

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

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