Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
Complete Elastic search tutorial - search, analyze, and visualize big data with Elasticsearch, Kibana, Logstash, & Beats
Product Brand: Udemy
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Udemy Coupon Code for Elasticsearch 8 and the Elastic Stack: In Depth and Hands On Course. Complete Elastic search tutorial – search, analyze, and visualize big data with Elasticsearch, Kibana, Logstash, & Beats
Created by Sundog Education by Frank Kane | 15.5 hours on-demand video course | 1 downloadable resources
Elasticsearch Course Overview
Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
Elasticsearch and the Elastic Stack are important tools for managing massive data. You need to know the problems it solves and how it works to design the best systems, and be the most valuable engineer you can be. Elasticsearch 8 is a powerful tool for analyzing big data sets in a matter of milliseconds! It’s increasingly popular technology for powering search and analytics on big websites, and a valuable skill to have in today’s job market. This course covers it all, from installation to operations. Learn how to use Elasticsearch 8 and implement it in your work within the next few days.
We’ve teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we’ve seen— with over 100 lectures including 15 hours of video. We’ll show you how to set up search indices on an Elasticsearch 8 cluster (if you need Elasticsearch 6 or 7 – we have other courses on that), and query that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting – you name it. And it’s not just theory, every lesson has hands-on examples where you’ll practice each skill using a virtual machine running Elasticsearch on your own PC.
What you’ll learn
- Install and configure Elasticsearch 8 on a cluster
- Create search indices and mappings
- Search full-text and structured data in several different ways
- Import data into Elasticsearch using various techniques
- Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
- Aggregate structured data using buckets and metrics
- Use Logstash and the “ELK stack” to import streaming log data into Elasticsearch
- Use Filebeats and the Elastic Stack to import streaming data at scale
- Analyze and visualize data in Elasticsearch using Kibana
- Manage operations on production Elasticsearch clusters
- Use cloud-based solutions including Amazon’s Elasticsearch Service and Elastic Cloud
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Who this course is for:
- Any technologist tasked with fast, scalable searching and analysis of big data sets.
Instructor
Sundog Education is led by Frank Kane and owned by Frank’s company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 26 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.
