Couchbase

Linkedin Learning – Introduction To Couchbase

Linkedin Learning – Introduction To Couchbase
English | Tutorial | Size: 157.09 MB


The course provides an overview of the fundamentals of Couchbase, a leading NoSQL database that’s been emerging in popularity, offering data format versatility and easy scalability all without downtime.

Linkedin Learning – Learning Couchbase

Linkedin Learning – Learning Couchbase-XQZT
English | Tutorial | Size: 152.42 MB


The course provides an overview of the fundamentals of Couchbase, a leading NoSQL database that’s been emerging in popularity, offering data format versatility and easy scalability all without downtime.

PluralSight – Integrate Couchbase into Your Data Environment

PluralSight – Integrate Couchbase into Your Data Environment Bookware-KNiSO
English | Size: 354.25 MB
Category: Tutorial


When using Couchbase, it is most likely one of the many tools in your environment which you use to store and manage your data Each of these tools will have their own use case for how they work with your data. In this context, moving data between the various tools becomes a crucial, and potentially tricky task. In this course we look at how to integrate your Couchbase database with a variety of other tools you may have in your environment, from search applications to data analysis platforms. First, you’ll begin with a generic means of accessing Couchbase data, specifically, Couchbase views You’ll look at the MapReduce programming model which views are based on, how these can be defined and then invoked

PluralSight – Implement Full text Search in Couchbase

PluralSight – Implement Full text Search in Couchbase-BOOKWARE-KNiSO
English | Size: 373.23 MB
Category: TUtorial


When using Couchbase to store documents containing text data, you would like the ability to search within those documents with natural language capabilities. This is precisely what the Couchbase Full Text Service has to offer. In this course Implement Full-text Search in Couchbase, you will delve into how full-text indexes work in Couchbase and how these indexes can be created, used and configured. First you will begin by exploring how full-text searches in general rank documents for each query which is sent to them. This includes concepts such as term frequency and inverse document frequency. Next, you will get hands-on and build full-text indexes in a Couchbase cluster and submit a variety of queries to them. Then, you will move on to how full-text searches are likely to be performed from an application – by submitting search requests using N1QL queries and the Couchbase REST API. Finally, you will explore the use of analyzers and filters to only include specific words and terms within a full-text index. When you are finished with this course, you will be well-versed in the options available to build, use, and configure full-text indexes in Couchbase. This will give you the skills needed to speed up text-based searches against the data in your Couchbase cluster, and deliver better search results to your end users