MongoDB—Mastering MongoDB for Beginners (Theory and Projects): Master MongoDB Development Applications with Python, Django, NodeJs, and more

AI Sciences OU

AI Sciences

₱6889.99

Video Oct 2021 11hrs 45mins 1st Edition

AI Sciences OU

AI Sciences

₱6889.99

Video Oct 2021 11hrs 45mins 1st Edition

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Key benefits

Relate the concepts and practical applications of MongoDB with real-world problems
Implement any project from scratch that requires MongoDB knowledge
Know the theoretical and practical aspects of MongoDB

Description

MongoDB, a fast and scalable NoSQL database, is extremely popular right now. This object-oriented database is simple and dynamic. In this course, you start by becoming proficient in the elementary concepts of MongoDB, including installing and setting up MongoDB Atlas, and understanding the database structure, collection structure, document structure, and basic Mongo commands. Next, you’ll explore the Basic, Create, Read, Update, and Delete operations in MongoDB. You’ll then explore in detail the MongoDB query operators and project operators. Following this, you’ll learn about MongoDB update operators. In the concluding modules, you’ll explore MongoDB with Node and Python. In the final module, you’ll sharpen your practical knowledge of the theoretical concepts you learned in this course by working on two mini-projects. In the first project, you’ll work on MongoDB with Django, in which you’ll develop a CRUD-based application using Django and MongoDB. In the second project, you’ll implement an ETL pipeline using PySpark to dump the data in MongoDB. By the end of this course, you will be able to implement any project from scratch that requires MongoDB knowledge. The complete code bundle for this course is available at https://github.com/PacktPublishing/MongoDB-Mastering-MongoDB-for-Beginners-Theory-and-Projects-

Who is this book for?

This course is designed for absolute beginners. As a newbie in this field, you will spend sufficient time - in gaining a thorough understanding of the fundamental concepts. You also need a good understanding of SQL. If you want to become a data scientist, database administrator, database engineer, or data engineer, then this course is for you.