Perform advanced search and analytics on your web applications using Elasticsearch
Created by: Packt Publishing
Produced in 2017
What you will learn
- Understand how to choose the best Elasticsearch cloud topology to deploy and power it up with external plugins
- Learn cluster, node and its services
- Understand and explore replication and sharding
- Get familiar with fundamental concepts of Elasticsearch
- Learn to read and write queries using the Elasticsearch Query DSL
- Understand how to use the command line and sense clients to query the Elasticsearch REST API
- Learn to integrate the open source Elastica PHP library with your PHP application
- Learn to use the official Laravel Scout package with an Elasticsearch driver
Overall Score : 80 / 100
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Packt's Video Learning Path 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.
Elasticsearch is an open-source, broadly-distributable, readily-scalable, and enterprise-grade search engine. Accessible through an extensive and elaborate API, Elasticsearch can power extremely fast searches that support your data discovery applications. Integrating Elasticsearch with PHP/Laravel web application will help you create functional and searchable web applications. Elasticsearch has the following advantages:
- Full-text search
- Schema free
- Built on top of Lucene
- Supports cloud
By the end of this Learning Path, you will gain skills required to build a functional Elasticsearch integration in your PHP/Laravel web application.
About the Authors:
Alberto Paro is an engineer, project manager, and software developer. He currently works as freelance trainer/consultant on big data technologies and NoSQL solutions. He loves to study emerging solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He began programming in BASIC on a Sinclair Spectrum when he was eight years old, and to date, has collected a lot of experience using different operating systems, applications, and programming languages.
Kyle Nicodemus is a graduate of the Rochester Institute of Technology's B. Thomas Golisano College of Computing and Information Sciences. Kyle has a strong background in Linux System Administration and Cloud Operations. He has worked in environments supporting both large and small scale web applications.
He currently works as a DevOps engineer at Global Thinking in Alexandria, Virginia. In his current role, he is responsible for the design and implementation of the cloud infrastructure behind two large web software products. He also works as a technical architect and backend developer for web applications, including one built using the Laravel framework with a custom Elasticsearch integration.Who this course is for:
- This Learning Path is for PHP developers who wish to integrate Elasticsearch into their web applications.
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