Mastering ElasticSearch
Mastering ElasticSearch, available at $34.99, has an average rating of 3.65, with 27 lectures, based on 18 reviews, and has 156 subscribers.
You will learn about A comprehensive review of ElasticSearch technology A deeper dive into the inner workings of ElasticSearch Connecting to and using ElasticSearch Tackling the challenge of ElasticSearch shards Grasping ElasticSearch indexing from the core Learning about ElasticSearch cluster administration Using the Python API for cluster access Let’s build an ElasticSearch Plugin Concluding “Mastering ElasticSearch 5.0” This course is ideal for individuals who are Developers with a basic knowledge of ElasticSearch who wants to take their knowledge of ElasticSearch to the next level It is particularly useful for Developers with a basic knowledge of ElasticSearch who wants to take their knowledge of ElasticSearch to the next level.
Enroll now: Mastering ElasticSearch
Summary
Title: Mastering ElasticSearch
Price: $34.99
Average Rating: 3.65
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- A comprehensive review of ElasticSearch technology
- A deeper dive into the inner workings of ElasticSearch
- Connecting to and using ElasticSearch
- Tackling the challenge of ElasticSearch shards
- Grasping ElasticSearch indexing from the core
- Learning about ElasticSearch cluster administration
- Using the Python API for cluster access
- Let’s build an ElasticSearch Plugin
- Concluding “Mastering ElasticSearch 5.0”
Who Should Attend
- Developers with a basic knowledge of ElasticSearch who wants to take their knowledge of ElasticSearch to the next level
Target Audiences
- Developers with a basic knowledge of ElasticSearch who wants to take their knowledge of ElasticSearch to the next level
ElasticSearch is a Lucene-based search engine for distributed search and analytics. This course will serve as a hands-on guide as you explore the features of ElasticSearch 5.0. You will go beyond the basics and master advanced concepts in ElasticSearch distributed searching, indexing, optimization, administration and much more.
You will be able to harness knowledge of advanced topics such as the ElasticSearch optimization and administration which include the inner workings of ElasticSearch, advanced queries, sharding for optimal performance, low level index configurations, and the best of ElasticSearch administration. Packed with easy to follow examples, this video course will ensure that you have a firm understanding of advanced topics of ElasticSearch 5.0, and how to effectively optimize your cluster.
About The Author
Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data centric technologies. He is also the Founder of XResults, where the vision is to harness the power of big data to deliver intuitive customer facing solutions, largely to non-technical professionals. Ethan is Harvard educated in the areas of data science and software engineering. He began using ElasticSearch in 2012 and has since delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted globally with firms in a cross-section of industry verticals, from the US to the Far East.
Course Curriculum
Chapter 1: ElasticSearch Primer
Lecture 1: The Course Overview
Lecture 2: What Defines ElasticSearch?
Lecture 3: ElasticSearch Recap
Lecture 4: What Is Apache Lucene?
Chapter 2: Managing Indices
Lecture 1: Most Common Index Pattern
Lecture 2: Index Management Features
Lecture 3: Shrinking Lucene Segments and Rolling Over Indices
Chapter 3: Relevancy in ElasticSearch
Lecture 1: Scoring in ElasticSearch
Lecture 2: Boosting
Lecture 3: Query Rescoring
Chapter 4: Production Cluster
Lecture 1: Setting Up Production Cluster
Lecture 2: Basic Settings for Production Cluster
Lecture 3: Advanced Settings and Configurations
Chapter 5: Security
Lecture 1: Authentication and Authorization
Lecture 2: User Management API
Lecture 3: Authorization
Lecture 4: Communication between Nodes
Lecture 5: IP Filtering
Chapter 6: Monitoring
Lecture 1: Monitoring in Kibana
Lecture 2: Setting Up a Monitoring Cluster
Chapter 7: ElasticSearch Backups
Lecture 1: Overview of Backup
Lecture 2: Repositories and Snapshots
Chapter 8: Machine Learning
Lecture 1: Introduction to Machine Learning
Lecture 2: Machine Learning and ElasticSearch
Lecture 3: Machine Learning Walkthrough
Chapter 9: Tips and Conclusion
Lecture 1: Production and Security Tips
Lecture 2: Conclusion
Instructors
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 6 votes
- 5 stars: 5 votes
Frequently Asked Questions
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