by Ethan Anthony | Released April 2018 | ISBN: 9781788997300

Quickly master big data with search and analytics from ElasticSearchAbout This VideoLearn to install and setup ElasticStack, in addition to how to perform basic queries and interactions with an Elasticsearch clusterDevelop an understanding of Elasticsearch dichotomy, Elasticsearch APIs, and how to interact with a cluster via APILearn aggregations, analytics, and use Machine Learning in Elasticsearch. Also see examples of how to build an Elasticsearch applicationIn DetailThis course is a hands-on guide to using Elasticsearch used in conjunction with Elastic Stack, to ship, parse, store, and analyze data. You'll start this course by getting an understanding of what Elasticsearch is, what it's used for, and why it's important. Then you'll be introduced to the new features in Elasticsearch 6.We'll cover each of the fundamental components such as indices, documents, nodes and clusters, all which form the dichotomy of Elasticsearch. You'll find out how to add more power to your searches using filters, ranges, and more. You'll also see how Elasticsearch can be used with the other components of the Elastic Stack such as LogStash, Kibana, and Beats, to get data into an Elasticsearch cluster.As well as learning how to add more power to your searches with filters, ranges, and more, you'll also see how to run advanced queries and aggregations on Elasticsearch 6. We'll also implement Machine Learning in a step-by-step walk-through example of anomaly detection. We conclude by developing a quick working Elasticsearch application.By the end of this course, you'll have a firm understanding of all the fundamentals of Elasticsearch 6, along with sufficient knowledge to use it in the real world.The code bundle for this course is available at: https://github.com/PacktPublishing/Learning-ElasticSearch-6 Show and hide more Publisher Resources Download Example Code

1. Chapter 1 : Getting Started with Elasticsearch
   • The Course Overview 00:05:49
   • What is Elasticsearch? 00:02:58
   • Goals of Elasticsearch 00:03:36
   • Installing Elasticsearch 00:09:02
2. Chapter 2 : Dichotomy of Elasticsearch
   • What is an Index? 00:05:20
   • Docs in Elasticsearch 00:06:05
   • What is a Cluster? 00:03:44
   • Shards and Replicas 00:09:23
   • Bulk API 00:02:34
3. Chapter 3 : The Power of Queries
   • Introduction to RESTful API 00:03:57
   • Searching with RESTful API 00:05:25
   • Updating with RESTful API 00:05:29
   • Introduction to DSL 00:04:44
   • DSL — Context, Relevancy, and Score 00:05:29
   • Exists Query 00:01:12
4. Chapter 4 : Elastic Stack
   • Introduction to Elastic Stack 00:01:52
   • Kibana 00:04:41
   • Logstash 00:03:56
   • X-Pack 00:07:23
   • Beats 00:01:07
5. Chapter 5 : Secure Log Analysis
   • Prep for Log Analysis 00:07:20
   • Securing Elasticsearch with X-Pack 00:06:27
   • Building the Pipeline 00:07:07
   • Running the Pipeline 00:04:03
6. Chapter 6 : Getting Busy with Queries
   • Term, Range, and Boosting 00:06:21
   • Aggregation Based Analytics 00:04:54
   • Aggregation Based Analytics (Continued) 00:02:20
   • Geo Query by Example 00:07:39
   • Sorting in Elasticsearch 00:04:12
   • Synonyms in Elasticsearch 00:05:00
7. Chapter 7 : Machine Learning and ES6
   • Intro to Machine Learning 00:05:14
   • Elasticsearch and Machine Learning 00:05:16
   • Machine Learning Walkthrough 00:11:15
   • Supplemental — Getting Data 00:11:48
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