After the successful completion of Couchbase training at Tekslate, the participant will be able to

• Get an overview of the Couchbase server architecture.

• Gain knowledge on NoSQL document database with a distributed architecture.

• Deploy Couchbase Server for querying, indexing, and searching.

• Learn how to write Map functions to implement an index on a bucket.

• Manage concurrent users for creating, storing, and retrieving data.

• Learn how Data Modeling is used for Distributed Systems.

• Get an overview of Query Monitoring, Troubleshooting, and Auditing Couchbase N1QL

• There is a high market demand for Certified Couchbase professionals with high CTC in the industry.

• World’s top multinational companies are recruiting Certified Couchbase professionals.

• On average, a Certified Couchbase Professional is earning 152,122 USD per annum.

• With an increase in demand for Couchbase, there are numerous job opportunities available around the world.

The following job roles will get benefited from learning this course:

• Developers

• Architects

• Analysts

• SQL and Oracle Developers

• DBAs

• Data warehouse and Business intelligence admins and analysts

• DevOps professionals.

There are no specific prerequisites for learning Couchbase. Anyone who is interested in learning this course can join this training. This course can be pursued regardless of learners’ skills.

We will provide two real-time projects under the guidance of a professional trainer, who will explain you on how to acquire in-depth knowledge on all the concepts involved in these projects.

• Discuss the modern application challenges

• Describe Big Data

• Describe the common strategies for handling Big Data

• Explain CAP Theorem

• Differentiate Hadoop and NoSQL

• Explain different types of NoSQL

• Describe Polyglot Programming

• Describe the history of the Couchbase server

• Describe Couchbase Data Platform

• Explain how data is stored in Couchbase server

• Describe Couchbase server architecture [Single Data Node]

• Describe the anatomy of a Couchbase application

• Explain Multi-Dimensional Scaling

• Describe Tools to Integrate with Couchbase

• Explain Couchbase SDKs

• Select documents and limiting results

• Explain Aliasing, concatenating, and selecting by keys

• Create indexes and filter queries

• Describe Querying ranges, ordering results, and explaining queries

• Describe Aggregating, distinct values, and filtering with wildcards

• Select for missing attributes, and group results

• Index and select based on values in JSON arrays

• Use functions in queries

• Join documents

• Describe the various Index Options

• Explain Index Partitioning

• Explain Alter Indexes

• Explain index service capacity management

• Explain Memory Optimized Indexes

• Describe query planning

• Explain the data source access methods

• Explain index selection in N1QL

• Explain pushdowns

• Explain the best practices in index tuning

• Explain query tuning in N1QL

• Describe the query tuning checklist

• Describe an event

• Explain the traditional ways of listening to events

• Explain Couchbase Eventing

• Describe Functions

• Explain the Functions Terminology

• Demonstrate Deploying and Un-deploying Functions

• Describe Data Modeling

• Explain Data Modeling for Distributed Systems

• Explain Formal Data Modeling

• Learn the Data Models Used In The Course

• Describe JSON Document Design

• Explain Data Nesting

• Explain Key Design

• Explain the various Trade-offs in Data Modeling

• Describe query monitoring

• Describe REST endpoints in N1QL

• Describe vitals in N1QL

• Describe Monitoring and Security Catalogs

• Describe profiling

• Explain profiling usage

• Explain Role Based Access Control in N1QL

• Explain pretty setting in CBQ

• Explain updating of nested arrays

• Explain cURL in N1QL

• Explain how an N1QL query is processed

• Explain the execution of an N1QL query

• Describe the various phases of an N1QL query

• Describe capacity management of a query node

• Explain how the Couchbase View Engine works

• Learn how to write Map functions to implement an index on a bucket

• Learn how to write Reduce functions to implement aggregation

• Explain how grouping works with Couchbase Views

• Explain options for working with keys

• Explain the Couchbase Java SDK

• Access bucket-level metadata

• Perform CRUD operations

• Use CAS for optimistic locking

Our trainers are well experienced professionals and certified in working with front-end development technologies.
 

We will record all the Live sessions you go through, and we will send the recording of the class you missed.
 

For practical execution, our trainer will provide server access to the student. 

All our training classes are live. This is to solve all the student queries directly with the trainer.

Live online training means, our trainer will be in online with you to solve your issues.
Pre-recorded training means, there will be no trainer available to solve your issues.

You can contact our Tekslate support team, or you can send an email to info@tekslate.com for your queries.

Yes, you can access the course material after completing course by the recorded training videos we shared with you during training.
 

To avail all discounts offered by Tekslate, you need to visit the website regularly. However, there will be a group discount for 2 or more participants.

Yes, you will get your refund by cancelling some administration fee from the course. But, you should cancel your enrolment within 48 hours of registration, and then the refund will be retained within 30 days of a request.
 

Currently, there is no official Certification exam available for Couchbase.

By enrolling into Tekslate’s training, you will gain a strong foundation in all the major concepts of Couchbase and will be able to meet all the skill sets required for the job descriptions posted by companies for Couchbase professional.

However, it also offers a course completion certificate of this course based on the candidate’s performance in the project implementation after completion of training.