Learning Path The Complete Guide To Elasticsearch 5.X

What you'll 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
Learn how to map base types, arrays, and objects
Get familiar with basic operations in Elasticsearch such as creating, deleting, and opening/closing
Learn how to use has_child query, has_parent query, and nested query for searching
Explore aggregations and scripting in Elasticsearch
Requirements
Basic JSON knowledge is required.
Understanding of Java and related technologies is also needed.
Description
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. If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, then go for this Learning Path.
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.
With regard to Elasticsearch, we have the following advantages
Full-text search. Schema free. Built on top of Lucene. Supports Cloud.
This Learning Path is a one-stop guide to master the complete Elasticsearch ecosystem. You will start with learning new features of Elasticsearch 5.x and setting up Elasticsearch on your system. Then, you will learn basic operations of Elasticsearch to perform on your data. Moving ahead, you will learn to create complex queries and analytics, and perform index mapping. Finally, you will learn advanced operations such as searching, working with text, numeric and geo queries, and performing aggregations and scripting.
By the end of this Learning Path, you will gain a deeper understanding of new features and operations of Elasticsearch 5.x to create flexible and scalable search solutions.
About the Author
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.
Overview
Section 1: Elasticsearch 5.x Solutions: Getting Started
Lecture 1 The Course Overview
Lecture 2 Understanding Cluster, Node and It's Services
Lecture 3 Managing Data
Lecture 4 Understanding Cluster, Replication, and Sharding
Lecture 5 Communicating with Elasticsearch
Lecture 6 Downloading and Installing Elasticsearch
Lecture 7 Setting Up Networking
Lecture 8 Setting Up a Node
Lecture 9 Setting Up Different Node Types
Lecture 10 Installing and Removing Plugins
Lecture 11 Changing Logging Settings
Lecture 12 Setting Up a Node Via Docker
Lecture 13 Using Explicit Mapping Creation
Lecture 14 Mapping Base Types, Arrays, and Object
Lecture 15 Mapping a Document and Using Dynamic Templates
Lecture 16 Managing Nested Objects, Child Document, and Multiple Mapping
Lecture 17 Mapping GeoPoint Field and GeoShape Field
Lecture 18 Mapping IP Field and Attachment Field
Lecture 19 Adding Metadata, Specifying Analyzer and Mapping Completion Field
Lecture 20 Creating, Deleting, and Opening/Closing an Index
Lecture 21 Putting and Getting a Mapping
Lecture 22 Reindexing, Refreshing, and Flushing
Lecture 23 Force Merge and Shrinking an Index
Lecture 24 Managing Index Settings and Using Index Aliases
Lecture 25 Indexing and Getting a Document
Lecture 26 Deleting and Updating a Document
Section 2: Elasticsearch 5.x Solutions – Mastering Elasticsearch Operations
Lecture 27 The Course Overview
Lecture 28 Searching, Sorting, and Highlighting Results
Lecture 29 Scrolling and Returning Inner Hits
Lecture 30 Suggesting Correct Query and Counting Matched Results
Lecture 31 Query and Query Profiling
Lecture 32 Deleting and Updating by Query
Lecture 33 Matching All Documents and Using a Boolean Query
Lecture 34 Using a Term and Prefix Query
Lecture 35 Using wildcard, regexp, and Span Query
Lecture 36 Using a Match and Query String Query
Lecture 37 Using Range, Common Term, and IDs Query
Lecture 38 Using the Function Score, Exist, and Template Query
Lecture 39 Using the has_child Query
Lecture 40 Using the has_parent Query
Lecture 41 Using the geo_bounding_box Query
Lecture 42 Using the geo_polygon Query
Lecture 43 Using the geo_distance Query
Lecture 44 Executing Stats and Terms Aggregation
Lecture 45 Executing Range and Histogram Aggregations
Lecture 46 Executing Filter Aggregations
Lecture 47 Executing Global, Geo Distance, and Children Aggregation
Lecture 48 Executing Nested, Top Hit, and Matrix Stats Aggregation
Lecture 49 Executing the geo_bound and geo_centroid Aggregation
Lecture 50 Painless Scripting
Lecture 51 Installing Additional Scripts Plugins
This Learning Path is for developers who want to learn Elasticsearch for advanced search and analytics.


Homepage

https://www.udemy.com/course/learning-path-the-complete-guide-to-elasticsearch-5x/