What you'll learn
Manage mapping, indices, and documents
Execute a search with aggregation
Create a REST and an ingest plugin
Index data via Apache Spark
Control cluster health and state via an API
Use the task management and Hot thread API
Manage repositories
Requirements
Basic understanding of JSON is needed.
Prior knowledge on Elasticsearch is assumed.
Description
Elasticsearch is a popular search engine based on Lucene. It provides a distributed, multitenant-capable, full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. So, if you're interested to create flexible and scalable search solutions using Elasticsearch and get knowledge of the node and cluster aspects, then go for this Learning Path.
Packt's Video Learning Paths are 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.
The highlights of this Learning Path are
Learn to manage mapping, indices, and documents
Use the task management and Hot thread API
Let's take a quick look at your learning journey. This Learning Path dives into the third-party integration aspect of Elasticsearch. It gives you a detailed coverage of how Elasticsearch can be integrated with popular languages such as Python, Java, and Scala, as well as shows you how Elasticsearch is integrated with third-party tools for efficient big data solutions. Further, you will learn practical recipes on the major operations such as searching, working with text, numeric and geo queries, performing aggregations and scripting. Moving on you will dive into node and cluster management aspects of Elasticsearch. You will be acquainted with recipes and hands-on solutions to backing up and restoring your nodes and clusters in Elasticsearch, as well as working with user interfaces.
By the end of this Learning Path, you will be able to integrate Elasticsearch with Java, Python, Scala and create flexible and scalable search solutions.
Meet Your Expert
We have combined the best works of the following esteemed author to ensure that your learning journey is smooth
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 - Extending Elasticsearch
Lecture 1 The Course Overview
Lecture 2 Creating Clients
Lecture 3 Managing Indices with the Native Client
Lecture 4 Managing Mappings, Documents, and Bulk Actions
Lecture 5 Building a Query
Lecture 6 Executing Search
Lecture 7 Creating a Client in Scala
Lecture 8 Managing Indices
Lecture 9 Managing Mappings
Lecture 10 Managing Documents
Lecture 11 Executing a Standard Search
Lecture 12 Executing a Search with Aggregations
Lecture 13 Creating a Client
Lecture 14 Managing Indices
Lecture 15 Managing Mappings
Lecture 16 Managing Documents
Lecture 17 Executing a Standard Search
Lecture 18 Executing a Search with Aggregations
Lecture 19 Creating a Plugin
Lecture 20 Creating an Analyzer Plugin
Lecture 21 Creating a REST Plugin
Lecture 22 Creating a Cluster Action
Lecture 23 Creating an Ingest Plugin
Section 2: Elasticsearch 5.x Solutions - Mastering Elasticsearch Operations
Lecture 24 The Course Overview
Lecture 25 Searching, Sorting, and Highlighting Results
Lecture 26 Scrolling and Returning Inner Hits
Lecture 27 Suggesting Correct Query and Counting Matched Results
Lecture 28 Query and Query Profiling
Lecture 29 Deleting and Updating by Query
Lecture 30 Matching All Documents and Using a Boolean Query
Lecture 31 Using a Term and Prefix Query
Lecture 32 Using wildcard, regexp, and Span Query
Lecture 33 Using a Match and Query String Query
Lecture 34 Using Range, Common Term, and IDs Query
Lecture 35 Using the Function Score, Exist, and Template Query
Lecture 36 Using the has_child Query
Lecture 37 Using the has_parent Query
Lecture 38 Using the geo_bounding_box Query
Lecture 39 Using the geo_polygon Query
Lecture 40 Using the geo_distance Query
Lecture 41 Executing Stats and Terms Aggregation
Lecture 42 Executing Range and Histogram Aggregations
Lecture 43 Executing Filter Aggregations
Lecture 44 Executing Global, Geo Distance, and Children Aggregation
Lecture 45 Executing Nested, Top Hit, and Matrix Stats Aggregation
Lecture 46 Executing the geo_bound and geo_centroid Aggregation
Lecture 47 Painless Scripting
Lecture 48 Installing Additional Scripts Plugins
Section 3: Elasticsearch 5.x Solutions - Node and Cluster Management
Lecture 49 The Course Overview
Lecture 50 Controlling Cluster Health and State Via an API
Lecture 51 Getting Nodes Information and Statistics Via API
Lecture 52 Using the Task Management and the Hot thread API
Lecture 53 Managing the Shard Allocation
Lecture 54 Monitoring Segments and Clearing the Cache
Lecture 55 Managing Repositories
Lecture 56 Executing a Snapshot
Lecture 57 Restoring a Snapshot
Lecture 58 Reindexing from a Remote Cluster
Lecture 59 Installing and Using Cerebro
Lecture 60 Installing Kibana and X-Pack
Lecture 61 Managing Kibana Dashboards
Lecture 62 Monitoring with Kibana
Lecture 63 Using Kibana dev-console
Lecture 64 Visualizing Data with Kibana
Lecture 65 Pipeline Definition
Lecture 66 PUT, GET, and DELETE an Ingest Pipeline
Lecture 67 Simulating an Ingest Pipeline
Lecture 68 Built-in and Grok Processors
Lecture 69 Using the Ingest Attachment and GeoIP Plugin
If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, then this Learning Path is for you.


Homepage

https://www.udemy.com/course/learning-path-elasticsearch-elasticsearch-5x-for-experts/