by Pranav Shukla, Sharath Kumar | Released June 2018 | ISBN: 9781789537994

Learn to make distributed search analytics, and visualize data using the ELK stackAbout This VideoGet to grips with the new features introduced in Elastic Stack 6 Get valuable insights from your data by working with the different components of the Elastic Stack such as ElasticSearch, Logstash, and KibanaIncludes handy tips and techniques to build, deploy, and manage your Elastic applications efficiently on-premise or on the cloud In DetailThe Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and the visualization of data from medium to massive datasets. The newly released Elastic Stack 6 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This course will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data-processing applications. After a quick overview of the newly introduced features in Elastic Stack 6, you'll learn how to set up the stack by installing the tools, and explore their basic configurations. Then we demonstrates the creation of custom plugins using Kibana. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. After completing this course, you'll have a solid foundational knowledge of basic Elastic Stack functionalities. You'll also have a good understanding of the role each component in the stack plays to solve different data processing problems. All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Learning-Elastic-Stack-6-video- Show and hide more Publisher Resources Download Example Code

1. Chapter 1 : Introducing Elastic Stack
   • The Course Overview 00:03:33
   • What is Elasticsearch, and Why Use It? 00:05:26
   • Exploring the Components of Elastic Stack 00:05:17
   • Downloading and Installing 00:03:14
2. Chapter 2 : Getting Started with Elasticsearch
   • Using the Kibana Console UI 00:02:14
   • Mappings and Data Types 00:04:56
   • CRUD Operations 00:04:21
   • Creating Indexes and Taking Control of Mapping 00:02:18
   • REST API Overview 00:03:18
3. Chapter 3 : Analyzing Log Data
   • Logstash 00:03:34
   • Architecture and Overview of Logstash Plugins 00:07:27
   • Exploring Input Plugins 00:05:04
   • Output Plugins 00:05:10
4. Chapter 4 : Analytics with Elasticsearch
   • The Basics of Aggregations 00:07:21
   • Metric Aggregations 00:03:57
   • Bucketing on String and Numeric Data 00:11:43
   • Bucketing on Date/Time Data 00:04:52
   • Bucketing on Geo-Spatial Data 00:03:14
5. Chapter 5 : Building Data Pipelines with Logstash
   • Parsing and Enriching Logs Using Logstash 00:11:54
   • Beats 00:03:52
6. Chapter 6 : Visualizing data with Kibana
   • Getting Started with Kibana 00:04:53
   • Kibana UI 00:15:41
   • Visualize 00:05:16
   • Visualizations in Action 00:05:17
   • Dashboards 00:02:09
   • Timelion and Plugins 00:06:38
7. Chapter 7 : Building a Sensor Data Analytics Application
   • Modeling data in Elasticsearch 00:02:56
   • Building the Logstash Data Pipeline 00:09:16
   • Visualizing the Data in Kibana 00:13:04
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