Complete Elasticsearch Masterclass with Logstash and Kibana
4.4 (2,802 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
15,632 students enrolled

Complete Elasticsearch Masterclass with Logstash and Kibana

Learn how to build a search engine and break into big data by mastering Elasticsearch 6, Kibana and Logstash (ELK stack)
Bestseller
4.4 (2,802 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
15,632 students enrolled
Created by Imtiaz Ahmad
Last updated 10/2018
English
English [Auto-generated], French [Auto-generated], 6 more
  • German [Auto-generated]
  • Indonesian [Auto-generated]
  • Italian [Auto-generated]
  • Polish [Auto-generated]
  • Romanian [Auto-generated]
  • Thai [Auto-generated]
Current price: $11.99 Original price: $154.99 Discount: 92% off
2 days left at this price!
30-Day Money-Back Guarantee
This course includes
  • 11 hours on-demand video
  • 7 articles
  • 5 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to Udemy's top 3,000+ courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Build an Elasticsearch 6 cluster from scratch
  • Perform various searches using the query DSL

  • Perform powerful realtime analytics using the Aggregations DSL

  • Combine Filters, Queries and Aggregations and understand document relevancy and searching
Course content
Expand all 44 lectures 11:22:24
+ Introduction
4 lectures 37:37
Instructions for Windows Users
00:59
Lecture 3: Overview of Elasticsearch
11:56
+ Document Management and Analyzers
4 lectures 01:23:02
Lecture 4: Indexing, Retrieving and Deleting Documents
26:50
Lecture 5: Components of an Index
15:30
Lecture 7: Text Analysis for Indexing and Searching
15:09
+ Defining the Index Structure
2 lectures 29:24
Lecture 8: Index Settings and Mappings (Part 1)
12:24
Lecture 9: Index Settings and Mappings (Part 2)
17:00
+ Querying Elasticsearch
7 lectures 01:48:15
Follow these instructions before starting Lecture 10
02:16
Lecture 10: Search DSL Query Context
19:40
Lecture 11: Search DSL Query Context (Part 2)
25:27
Lecture 12: Search DSL Filter Context
23:33
Follow these instructions before watching Lecture 13.
01:45
Lecture 13: Aggregations DSL (Part 1)
19:19
Lecture 14: Aggregations DSL (Part 2)
16:15
+ Real World Project with Logstash, Kibana and Filebeat
8 lectures 01:47:13
Lecture 15: Download and Configure Logstash
15:55
Lecture 16: Logstash Overview and Indexing Apache Application Logs
18:16
Using Logstash for indexing CSV file data
00:19
Lecture 17: Overview of Kibana Visualizations and Dashboards
16:40
Lecture 18: More on Kibana Visualizations and Dashboards
26:04
Lecture 19: Architecting the Elastic Stack
10:18
Lecture 20: Setting up Filebeat
08:37
Lecture 21: Using Filebeat with Logstash
11:04
+ APPENDIX: OLDER ELASTICSEARCH 5 MATERIAL
19 lectures 05:18:12
READ THIS FIRST - Elasticsearch Version 5
00:27
Lecture A.2: Setting up Elasticsearch and Kibana
10:05
Lecture A.3: Overview of Elasticsearch
19:26
Lecture A.4: Indexing, Retrieving and Deleting Documents
25:55
Lecture A.5: Components of an Index
17:40
Lecture A.6: Distributed Execution of Requests
25:33
Lecture A.7: Text Analysis for Indexing and Searching
15:09
Lecture A.8: Index Settings and Mappings (Part 1)
24:51
Lecture A.9: Index Settings and Mappings (Part 2)
17:00
Follow these instructions before starting Lecture 10
02:13
Lecture A.10: Search DSL Query Context
19:40
Lecture A.11: Search DSL Query Context (Part 2)
25:27
Lecture A.12: Search DSL Filter Context
23:33
Follow these instructions before watching Lecture 13.
01:44
Lecture A.13: Aggregations DSL (Part 1)
19:47
Lecture A.14: Aggregations DSL (Part 2)
16:15
Lecture A.15: Download and Configure Logstash
19:53
Lecture A.16: Logstash Job with Real-time Data Visualization in Kibana
18:00
Lecture A.17: More on Data Visualization and Charts
15:33
Requirements
  • The desire to learn a popular Big Data Technology
  • Understand how to use an internet browser
Description

LAST UPDATED Aug, 2018 - Elasticsearch Version 6

Elasticsearch is the biggest player in the big-data space since Hadoop. I would actually vouch that it's the Hadoop killer!

It's just now beginning to gain recognition and wider adoption in the no-sql big-data space and Elasticsearch has come a long way since it's first release. I'm sure that by just adding Elasticsearch on your linkedin profile your going to gain the attention of various companies investing in this technology. So get excited about Elasticsearch because it is a big deal.

This course is most suited for people that want to not only power-up their resume with this new and exciting technology but also powerup their applications to be blazing fast by implementing Elasticsearch correctly. I've designed this course to be practical and easy to follow by repeating key concepts with step by step instructions and best practices for building a search Engine from scratch.

By the end of this course you'll know everything there is to know about how to build a search engine using the most recent and popular version of Elasticsearch 6 for your application as well as how to perform powerful realtime analytics on your data. There is a 30 day money back guarantee, if you're not satisfied for any reason, you get your money back no questions asked!

Who this course is for:
  • Anyone who wants to learn how to build a search engine using Elasticsearch 6.0