Essential practical guide to No-SQL database development with MongoDB

In this course you learn how to design No-SQL databases with MongoDB.

MongoDB is a cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas.

Learning Objectives

In this hands-on course, you learn how to

1. Getting started with MongoDB and use it along with JavaScript.
2. Run CRUD (Create, Update, Delete, Read) operations
3. Create and manage Collections in MongoDB
4. Run queries using Find() and FindOne() commands
5. Work with Upserts and Inserts in MongoDB
6. Manage database indexes
7. Run Aggregation and many more

Topics and Subtopics

Here is the course outline:

Session 1: Getting started with MongoDB 

1.1: Execution of a JavaScript file in MongoDB 

1.2: Making the output of find readable in shell

1.3: Complementary Terms

1.4: Installation

1.5: Basic commands on mongo shell

1.6: Hello World

Session 2: CRUD Operation 

2.1: Create 

2.2: Update 

2.3: Delete

2.4: Read

2.5: Update of embedded documents

2.6: More update operators

2.7: "multi" Parameter while updating multiple documents

Session 3: Getting database information

3.1: List all collections in database

3.2: List all databases

Session 4: Querying for Data (Getting Started)

4.1: Find()

4.2: FindOne()

4.3: limit, skip, sort and count the results of the find() method

4.4: Query Document - Using AND, OR and IN Conditions 

4.5: find() method with Projection 

4.6: Find() method with Projection

Session 5: Update Operators

5.1: $set operator to update specified field(s) in document(s)

Session 6: Upserts and Inserts

6.1: Insert a document

Session 7: Collections 

7.1: Create a Collection

7.2: Drop Collection

Session 8: Aggregation 

8.1: Count 

8.2: Sum

8.3: Average

8.4: Operations with arrays

8.5: Aggregate query examples useful for work and learning

8.6: Match

8.7: Get sample data

8.8: Remove docs that have a duplicate field in a collection (dedupe)

8.9: Left Outer Join with aggregation ( $Lookup)

8.10: Server Aggregation

8.11: Aggregation in a Server Method

8.12: Java and Spring example

Session 9: Indexes

9.1: Index Creation Basics

9.2: Dropping/Deleting an Index

9.3: Sparse indexes and Partial indexes

9.4: Get Indices of a Collection

9.5: Compound

9.6: Unique Index

9.7: Single field

9.8: Delete

9.9: List

Session 10: Bulk Operations 

10.1: Converting a field to another type and updating the entire collection in Bulk

Requirements

Good knowledge of database logics, concepts and design.

Related Courses

• Learn SQL Programming by Examples
• Learn Graph Database Design by Examples

Complete Training Bundle

If you are serious about becoming a pro system admin or cloud specialist, you should enroll in our System Admin- Complete Training Bundle. This bundle covers all essential and practical topics related to system administration. For $290 monthly subscription, you can have access to 300+ hours of hands-on project-based training covering all courses related to system administration like Linux, SQL, No-SQL, or Graph database development, bash scripting, Docker, Kubernetes and many more. Click here to learn more.

Private Tutoring Classes

To take skills you learn from this course to the next level, taking the following tutoring classes are highly recommended. It is also a great opportunity to discuss your questions and problems related to this course with an experienced instructor:

• Private tutoring sessions for system administrator management- Weekly and monthly plans
• Database design and SQL coding- Private tutoring sessions

What Is Next?

After finishing this course, you can enroll in any of following classes:

• Learn Node.JS, Express.JS and MongoDB
• Intro to HTML and CSS
• Learn Graph Database Design by Examples
• Intro to JavaScript

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