Coupon & course info
Course Name: Elasticsearch 5 and Elastic Stack – In Depth and Hands On!
Subtitle: Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more.
Instructor: Taught by Sundog Education by Frank Kane, Training the World in Big Data and Machine Learning
Provided by: Udemy
Price: $150 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of October 20, 2017…
Students: 3,116 students enrolled students enrolled
Ratings: 348 reviews
Rank: ranked #41 in Udemy Business Courses
Brief course description
Elasticsearch is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It’s an increasingly popular technology, and a valuable skill to have in today’s job market. This comprehensive course covers it all, from installation to operations, with 60 lectures including 8 hours of video.
We’ll cover setting up search indices on an Elasticsearch cluster, and querying 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.
We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it’s via raw RESTful queries, scripts using Elasticsearch API’s, or integration with other “big data” systems like Spark and Kafka – you’ll see many ways to get Elasticsearch started from large, existing data sets at scale. We’ll also stream data into Elasticsearch using Logstash and Filebeat – commonly referred to as the “ELK Stack” (Elasticsearch / Logstash / Kibana) or the “Elastic Stack”.
(Read more about this course on the official course page.)
Sundog Education by Frank Kane bio
Sundog Education’s mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 62 lessons
Duration: 8 hours of video
What you get: Install and configure Elasticsearch on a cluster
Target audience: Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.
Requirements: You need access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons