Learning Path: The Road to Elasticsearch (Udemy.com)
Learn all you need to know about Elasticsearch and get started with the new Elastic Stack.
Created by: Packt Publishing
Produced in 2017
What you will learn
- All about the Elastic stack, its major components, their use cases, the installation process
- Basic usage of each major component, and its purpose
- Success stories for customers by implementing the Elastic stack
- Develop a complete data pipeline using the Elastic stack
- Core fundamentals and concepts of Elasticsearch
- Use RESTful API to interact with data stored in Elasticsearch
- Learn to use the Elasticsearch domain-specific language to formulate complex queries for enabling fast searches
- Use Elasticsearch with Logstash and Kibana in greater detail
- How to perform a full analysis on Apache web logs, with Elasticsearch, Logstash, and Kibana
- Learn the differences between Apache Solr and Elasticsearch
Quality Score
Overall Score : 56 / 100
Course Description
Elasticsearch is part of the Elastic family, popularly called as the Elastic stack, whose other components include Logstash, Kibana, the Beats family, and X-Pack.
Together, the Elastic stack forms an essential suite of tools that is a must for any developer wanting to embark on a path to build high-quality web applications in this day and age. Elasticsearch is a search server that can also double up as a NoSQL data store, and hence provides lightning-fast search functionality within a website. Logstash is used to collect and parse all kinds of logs. It can also be used to ferry data to and from Elasticsearch at high speeds. Kibana is an Elasticsearch data visualization tool, Beats help in gathering data from disparate sources to Elasticsearch, while X-Pack provides services such as security, monitoring, alerting, reporting, and so on.
The Road to Elasticsearch is Packt's Video Learning Path that is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
First, this learning path gets you acquainted with the new, Elastic stack. You learn all about the key components of the Elastic family, their usage and their significance. Then, we move on to a more detailed topic in which we learn in depth about the new Elasticsearch 5.0, which is the mainstay of the stack. We begin by learning about the fundamentals of Elasticsearch. Here, we learn how data is stored in Elasticsearch, specifically, concepts like index, types, and documents, and are also introduced to the Elasticsearch domain-specific language (DSL). Finally, we learn to create complex search queries that power advanced search features in top websites.
By the end of this Learning Path , you will have developed a mastery of Elasticsearch fundamentals, and would be able to seamlessly harness the power of Elasticsearch to augment the capability of your web apps.
The goal of this Learning Path is to equip you with strong fundamentals of Elasticsearch and introduce you to the Elastic stack.
This Learning Path is authored by some of the best in the field.
Ethan Anthony is a San Francisco-based data scientist who specializes in distributed data-centric technologies, and is also the founder of XResults, a data analytics company. Ethan has over 10 combined years of experience in cloud-based technologies such as Amazon Web Services and OpenStack, as well as the data-centric technologies of Hadoop, Mahout, Spark, and Elasticsearch. He began using Elasticsearch in 2011 and has since delivered solutions based on the Elastic stack to a broad range of clientele.
Karthik Selvaraj is an integration specialist having vast experience in areas of enterprise application integration, service-oriented architecture, and API economy. He is a YouTuber and has several training videos on his YouTube channel. His technology stack includes IBM DataPower Gateway, IBM WebSphere MQ, Mule ESB, Elastic stack, Active MQ, and IBM Integration Bus.Who this course is for:
- Any web developer interested in getting started with Elasticsearch seriously, in a big way, by first comprehensively understanding the basics, with an intention of using Elasticsearch heavily in the future.
Instructor Details
- 2.8 Rating
4 Reviews
Packt Publishing
Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.
Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.
More courses by Packt Publishing
JavaScript Design Patterns: 20 Patterns for Expert Code (2015)
3.7 (146 Reviews)
Provider: Udemy
Time: 3.5h
$11.99
Learning Path: Automation with Ansible, Puppet, and Salt (2018)
3.9 (121 Reviews)
Provider: Udemy
Time: 14h
$11.99
Learning Path: Magento: Master and Test Magento 2 with Ease (2019)
3.7 (109 Reviews)
Provider: Udemy
Time: 6h
$11.99
More elastic search courses
Apache Kafka Series - Learn Apache Kafka for Beginners v2 (2021)
4.8 (388 Reviews)
Provider: Udemy
Time: 7.5h
$11.99
Spring Boot Microservices and Spring Cloud (2021)
4.7 (407 Reviews)
Provider: Udemy
Time: 16h
$11.99
The Flask Mega-Tutorial (Python Web Development) (2018)
4.7 (114 Reviews)
Provider: Udemy
Time: 11.5h
$11.99
Part 2: AWS Certified Solutions Architect (and CD,SO) - 2021 (2021)
4.6 (61 Reviews)
Provider: Udemy
Time: 11h
$11.99
AWS Certified Data Analytics Specialty - Hands On! (2021)
4.5 (449 Reviews)
Provider: Udemy
Time: 12.5h
$11.99














