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The Complete Elasticsearch Masterclass with Logstash and Kibana
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Introduction (V2)
Lecture 1 - Course Overview (V2) (5:29)
Lecture 2 - Setting up Elasticsearch and Kibana (V2) (19:13)
Instructions for Windows Users
Alternative Methods to Install Elasticsearch
Lecture 3 - Overview of Elasticsearch (V2) (11:56)
Document Management and Analyzers (V2)
Lecture 4 - Indexing, Retrieving and Deleting Documents (V2) (26:50)
Lecture 5 - Components of an Index (V2) (15:30)
Lesson 6 - Distributed Execution of Requests (25:33)
Lecture 7 - Text Analysis for Indexing and Searching (V2) (15:09)
Defining the Index Structure (V2)
Lecture 8 - Index Settings and Mappings - Part 1 (V2) (12:25)
Lecture 9 - Index Settings and Mappings - Part 2 (V2) (17:00)
Querying Elasticsearch (V2)
Follow these instructions before watching Lecture 10
Lecture 10 - Search DSL Query Context (V2) (19:40)
Lecture 11 - Search DSL Query Context (Part 2) (V2) (25:27)
Lecture 12 - Search DSL Filter Context (V2) (23:33)
Follow these instructions before Lecture 13
Lecture 13 - Aggregations DSL (Part 1) (V2) (19:20)
Lecture 14 - Aggregations DSL (Part 2) (V2) (16:15)
Real-world Project with Logstash and Kibana (V2)
Lecture 15 - Download and Configure Logstash (V2) (15:55)
Resources for Lecture 16
Lecture 16 - Logstash Overview and Indexing Apache Application Logs (V2) (18:16)
Resources for Lecture 17: Using Logstash for indexing CSV file data
Lecture 17 - Overview of Kibana Visualizations and Dashboards (V2) (16:40)
Lecture 18 - More on Kibana Visualizations and Dashboards (V2) (26:04)
Lecture 19 - Architecting the Elastic Stack (V2) (10:18)
Lecture 20 - Setting up Filebeat (V2) (8:37)
Lecture 21 - Using Filebeat with Logstash (V2) (11:04)
APPENDIX: OLDER ELASTICSEARCH 5 MATERIAL
READ THIS FIRST - Elasticsearch Version 5
APPENDIX: Introduction
Lecture 1 - Course Overview (5:18)
Lecture 2 - Setting up Elasticsearch and Kibana (10:05)
Lecture 3 - Overview of Elasticsearch (19:26)
APPENDIX: Document Management and Analyzers
Lecture 4 - Indexing, Retrieving and Deleting Documents (25:55)
Lecture 5 - Components of an Index (12:20)
Lecture 6 - Distributed Execution of Requests (25:33)
Lecture 7 - Text Analysis for Indexing and Searching (15:09)
APPENDIX: Defining the Index Structure
Lecture 8 - Index Settings and Mappings (Part 1) (24:51)
Lecture 9: Index Settings and Mappings (Part 2) (17:00)
APPENDIX: Querying Elasticsearch
Follow these instructions before starting Lecture 10
Lesson 10 - Query DSL (Using the Query Context) (19:40)
Lesson 11 - Query DSL (Continuing the Query Component) (25:27)
Lesson 12 - Query DSL (Filter Context) (23:33)
Follow these instructions before Lecture 13.
Lesson 13 - Aggregations DSL (19:47)
Lesson 14 - Aggregations DSL (Part 2) (16:15)
APPENDIX: Real-world Project with Logstash and Kibana
Lecture 15 - Download and Configure Logstash (19:53)
Lecture 16 - Logstash Job with Real-time Data Visualization in Kibana (18:00)
Lecture 17 - More on Data Visualizations in Kibana (15:33)
Lecture 4 - Indexing, Retrieving and Deleting Documents
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