Course Overview
With Atlas Search, you can create a search index on your MongoDB data in a few clicks or a single API call, making it easy to create rich experiences and deliver personalized content to your users with full-text search. In this course, developers learn what use cases can be solved using Atlas Search and how to design and implement search indexes for the first time. They’ll also learn how to run and tune queries, augment search results, and correctly size Atlas to satisfy search capabilities.
Prerequisites
This course has the following prerequisites:
- DF100: MongoDB Developer Fundamentals
- DF200: Storage and Retrieval
Audience Profile
All application developers who use MongoDB will benefit from this training program.
Learning Objectives:
You will learn how to handle data storage, modeling, ingestion, query, sharding, and data replication with MongoDB and install, update, and maintain the MongoDB environment. You will also learn MongoDB configuration, backup methods, monitoring, and operational strategies.
Content Outline
- Identify appropriate use cases for Atlas Search
- Design and implement Atlas Search indexes
- Query Atlas Search and tune your queries to adjust result ranking
- Augment search results with scores and highlighting
- Implement synonym tables for context-sensitive matching
- Determine what instance size is required for your search capabilities
FAQs
In this course, developers learn what use cases can be solved using Atlas Search and how to design and implement search indexes for the first time. They’ll also learn how to run and tune queries, augment search results, and correctly size Atlas to satisfy search capabilities.
MongoDB database is the most popular database according to the DB-Engine global ranking. So when startups are looking for Full Stack Developers, MongoDB expertise is often among the first skills required for a successful candidate.
A great MongoDB developer should understand the key differences between SQL and NoSQL databases on the conceptual level. They should also be comfortable with the specific syntax of MongoDB. They can be a developer with considerable hands-on experience with MongoDB or DBA with development experience.
To attend the training session, you should have operational Desktops or Laptops with the required specifications and a good internet connection to access the labs.
Technical issues are unpredictable and might occur with you as well. Participants must ensure that they have the system with the required configuration and good internet speed to access online labs.
If the problem persists or you face any challenge during the class, you can report it to us or your trainer. In that case, Radiant would provide you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
Radiant Techlearning offers training programs on weekdays, weekends, and a combination of weekdays and weekends. You can always choose the schedule that best suits your need
: Yes, your employer can pay your fees.
Yes, you can easily choose an EMI option through your credit or Debit card.
You can submit payment to Radiant by:
- Debit or credit card
- Bank transfer
- Google pay