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Couchbase Tutorial – Learn Couchbase from Experts

Overview of CouchBase

In today’s world, enterprises need a modern database to underpin application development along with creating and engaging digital experiences. And as this need for highly agile, scalable database technology to create amazing customer experiences continues is successfully fulfilled by Couchbase’s. Couchbase is one of the popular and emerging NoSQL databases on the market today.

It is a NoSQL nonrelational DBMS, which is significantly different from traditional relational DBMS in many aspects. It is mainly designed for distributed data stores in the very large-scale data storage requirements which can be of terabytes and petabytes of data. These data storing mechanisms might not require fixed schemas, avoid join operations, and typically scale horizontally.

In our Couchbase tutorials, we will cover Introduction, Couchbase Installation on the various machine including Centos Linux, Ubuntu Linux, OS X Systems, and Windows Systems. We will also explore the Setup of Couchbase, Concepts of Couchbase, its Architecture, Guidelines for Administrator and Developer

Prime highlights of Couchbase are:

Key Characteristics Description
Data model Flexible data model and dynamic schemas
Query language N1QL, similar to SQL for manipulating JSON data
Latency Low, few sub-millisecond latency
Scalability High, easily scalable on commodity hardware
Administration Easy administration through identical server software
Availability Performs all the operation while it is online

Some of the other features are:

  • Blend of two NoSQL technologies-Membase and CouchDB
  • The database remains in server cluster made of multiple nodes
  • The locking mechanism allows client coordination.

Couchbase Tutorial Video

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Course Schedule

Name Date Details
Couchbase Training 23 Nov 2024(Sat-Sun) Weekend Batch View Details
30 Nov 2024(Sat-Sun) Weekend Batch
07 Dec 2024(Sat-Sun) Weekend Batch

About the Author

Data Engineer

As a skilled Data Engineer, Sahil excels in SQL, NoSQL databases, Business Intelligence, and database management. He has contributed immensely to projects at companies like Bajaj and Tata. With a strong expertise in data engineering, he has architected numerous solutions for data pipelines, analytics, and software integration, driving insights and innovation.