Learning Elasticsearch 6 (Udemy.com)
Quickly master big data with search and analytics from ElasticSearch
Created by: Packt Publishing
Produced in 2018
What you will learn
- Get an introduction to Elasticsearch 6, what differentiates ver 6 from ver 5.5, setup/installation and understand the parts that make-up Elasticsearch that results in no single point of failure
- Find out about indices, documents, nodes, types, and clusters
- Dive deeper into Elasticsearch interactions with filers, ranges, matches along with aggregations
- Go into ElasticStack and use Kibana, logstash and filebeats, to develop a pipeline to get data from an external source into ElasticSearch
- Dispel myths about Elasticsearch and get use case examples
- Run more advanced DSL queries
- Find out about Machine Learning in Elasticsearch
- Build an Elasticsearch application
Quality Score
Overall Score : 80 / 100
Course Description
We'll cover each of the fundamental components such as indices, documents, nodes and clusters, all which form the dichotomy of Elasticsearch. You'll find out how to add more power to your searches using filters, ranges, and more. You'll also see how Elasticsearch can be used with the other components of the Elastic Stack such as LogStash, Kibana, and Beats, to get data into an Elasticsearch cluster.
As well as learning how to add more power to your searches with filters, ranges, and more, you'll also see how to run advanced queries and aggregations on Elasticsearch 6. We'll also implement Machine Learning in a step-by-step walk-through example of anomaly detection. We conclude by developing a quick working Elasticsearch application.
By the end of this course, you'll have a firm understanding of all the fundamentals of Elasticsearch 6, along with sufficient knowledge to use it in the real world.
The code bundle for this course is available
About the Author
Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data-centric technologies. He is also the Founder of XResults, where the vision is to harness the power of big data to deliver intuitive customer-facing solutions, largely to non-technical professionals.
Ethan is Harvard-educated in the areas of data science and software engineering. He began using ElasticSearch in 2012 and has since delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted globally with firms in a cross-section of industry verticals, from the U.S. to the Far East.Who this course is for:
- This course is designed for technical professionals who aim to build efficient search and analytics applications using ElasticSearch 6.
Instructor Details
- 4.0 Rating
6 Reviews
Packt Publishing
Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.
Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.
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Reviews
- Video Duration:
3h - Price: 11.99 Track Price 11.99 Track Price
- Provider: Udemy
- Year:
2018 - Language:
English, English [Auto-generated] - Certificate:
Yes
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