Complete Elasticsearch Masterclass with Logstash and Kibana Course Catalog
File Size: 3.73 GB
Learn how to build a search engine and break into big data by mastering Elasticsearch 6, Kibana and Logstash (ELK stack)
What you’ll learn
Complete Elasticsearch Masterclass with Logstash and Kibana Course Catalog
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
Requirements
The desire to learn a popular Big Data Technology
Understand how to use an internet browser
Description
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 the first release. I’m sure that by just adding Elasticsearch on your Linkedin profile you’re going to gain the attention of various companies investing in this technology. So get excited about Elasticsearch because it is a big deal. The average salary for an Elasticsearch engineer is over $100,000 and the demand for engineers is high.
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.
Topics covered in this course:
Setting up Elaticsearch and Kibana
Downloading and Configuring Logstash
Logstash
Kibana
Indexing, Retrieving and Deleting Documents
Text Analysis
Index Settings
Index Mapping
Searching DSL Query Context
Searching the DSL Filter Context
Aggregations DSL
Indexing Apache Application Logs
Kibana Visualizations
Using Filebeat
Older Elasticsearch 5 Material
