Execute Analytics Queries in Couchbase 6
Course Features
Duration
125 minutes
Delivery Method
Online
Available on
Downloadable Courses
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Video Content
125 minutes
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Finally, we cover the use of window functions to perform analytics operations over partitions of data
In this course, we delve into the implementation of analytics as a separate service in couchbase so that it does not interfere with operations on bucket data
Once you have finished this course, you will be well equipped to make sense of large volumes of document data using the couchbase analytics service
This will help you spot trends in the underlying data, prepare the data for visualizations, and ultimately will help your organization make the right business decisions based on an analytical and data-driven approach
We explore a number of clauses which our analytics queries can include, the operators which we can make use of as well as the built-in functions which can be invoked to operate on document data
We explore the steps needed to set up data so that they can be used by analytics, and then focus on running analytics queries
We look at how this is similar to, yet subtly different from regular n1ql and look into various operations which can be performed with this language
We then turn our attention towards the query language for couchbase analytics which is known as n1ql for analytics