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    Mongodb 101: Beginner'S Guide To Mongodb

    Posted By: ELK1nG
    Mongodb 101: Beginner'S Guide To Mongodb

    Mongodb 101: Beginner'S Guide To Mongodb
    Published 10/2023
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 919.43 MB | Duration: 4h 4m

    Understanding MongoDB's Document-Oriented Data Model. Learn, understand and practice fundamentals of the MongoDB.

    What you'll learn

    What document databases are and how data is organized with MongoDB

    Performing fundamental Create, Read, Update, and Delete operations in MongoDB to interact with your data.

    Writing complex and efficient queries to retrieve the information you need from your MongoDB database.

    Use all features MongoDB offers you to work with data efficiently.

    Requirements

    While this course is designed for beginners, a general understanding of databases, data storage, and retrieval concepts will be helpful.

    A basic knowledge of programming concepts and experience with at least one programming language (e.g., Python, JavaScript, or Java) will make it easier to work with MongoDB.

    Basic familiarity with the command line interface (CLI) is beneficial.

    Description

    Are you ready to unlock the power of MongoDB, one of the most popular NoSQL databases used by developers and organizations worldwide? "MongoDB 101: Beginner's Guide to MongoDB" is your gateway to understanding the fundamental concepts of MongoDB and acquiring the skills to work with this flexible, scalable, and high-performance database system.Get ready for the “MongoDB 101: Beginner’s Guide to MongoDB” complete course. Gain familiarity with the course details and topics designed to help you succeed.MongoDB offers a flexible and efficient way to store, manage, and retrieve data, making it a vital tool for web and application developers, database administrators, and data enthusiasts.No matter if you're building web applications, mobile applications, or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently, and minimizing complexities whilst optimizing performance are crucial tasks.In this comprehensive course, you will embark on a journey that takes you from MongoDB novice to proficient user. We will start with the basics and gradually delve into more advanced topics, ensuring you gain a thorough understanding of this robust database system.Learn about MongoDB with Hands-On LabsThe MongoDB 101: Beginner’s Guide to MongoDB is a hands-on practice course designed to familiarize you with the core functionality of ChatGPT and its plugin system. Through hands-on exercises, throughout this course, you'll master the fundamentals of MongoDB, starting with the core concepts and gradually building your expertise. Whether you're a developer aiming to enhance your skills or a newcomer to the world of databases, you'll find this course both accessible and rewarding.The course comprises approximately 50 labs starting from the basics and moving to high levels in terms of complexity.Who should take this course?The course "MongoDB 101: A Beginner's Guide to MongoDB" is designed for a wide range of individuals who are interested in learning about MongoDB and NoSQL database management. It is particularly suitable for Both aspiring and experienced developers who want to add MongoDB to their skill set. Whether you're a web developer, mobile app developer, or software engineer, understanding MongoDB is valuable for building data-driven applications. This course is also useful for Database administrators who want to expand their knowledge beyond traditional relational databases and gain expertise in NoSQL databases like MongoDB. Anyone with an interest in data management, data science, or data analytics who wants to explore MongoDB as a powerful tool for working with unstructured and semi-structured data can benefit from this course.Course ContentIn Section 1, we will learn to Install and set up MongoDB: We'll guide you through the installation process and show you how to configure MongoDB for your specific needs.In Section 2, we explore some fundamental concepts of MongoDB. We’ll discover how to create databases, collections, and documents in MongoDB, and master the art of querying data efficiently.In Section 3, explore performing "CRUD Operations" in MongoDB. We’ll explore different scenarios of creating, updating, reading, and deleting documents in MongoDB using Mongo shell.In Section 4, we’ll explore some query and projection operators that we can use to make our querying more efficient and get specific documents as a result.Section 5 introduces you to the update operators that you can use to update your documents or specific fields of the document on the basis of certain criteria.In Section 6, we’ll explore data modeling in MongoDB and some approaches for how you can implement relationships between collectionsSection 7 delves into "The MongoDB Compass" by providing you with the required knowledge to start using MongoDB Compass if you are more comfortable with using GUI than using CLI or shell.Finally, in Section 8, we’ll integrate MongoDB with programming languages and frameworks. We’ll see how you can use MongoDB with Python and then we’ll see how you can use MongoDB with Spark using Databricks.

    Overview

    Section 1: Introduction

    Lecture 1 What is MongoDB

    Lecture 2 Key Characteristics of MongoDB

    Lecture 3 Demo: MongoDB Installation on Windows

    Lecture 4 Demo: MongoDB Shell Installation on Windows

    Section 2: MongoDB Basics

    Lecture 5 Understanding Databases, Collections & Documents

    Lecture 6 JSON vs BSON

    Lecture 7 Creating Databases & Collections

    Section 3: CRUD Operations in MongoDB

    Lecture 8 Creating a single Document in MongoDB

    Lecture 9 Creating multiple documents in MongoDB

    Lecture 10 Update document using single filter

    Lecture 11 Update Documents using multiple filters

    Lecture 12 Reading Documents in MongoDB

    Lecture 13 Deleting Documents in MongoDB

    Lecture 14 Importing json file to MongoDB using shell

    Lecture 15 Importing csv file to MongoDB using shell

    Section 4: Chapter 4

    Lecture 16 $eq operator

    Lecture 17 $gt operator

    Lecture 18 $lt operator

    Lecture 19 $in operator

    Lecture 20 $ne operator

    Lecture 21 $nin operator

    Lecture 22 $or operator

    Lecture 23 $and operator

    Lecture 24 $not operator

    Lecture 25 $exists operator

    Lecture 26 $type operator

    Lecture 27 $expr operator

    Lecture 28 $mod operator

    Section 5: Update Operators

    Lecture 29 $currentDate operator

    Lecture 30 $inc operator

    Lecture 31 $dec operator

    Lecture 32 $min operator

    Lecture 33 $max operator

    Lecture 34 $mul operator

    Lecture 35 $rename operator

    Lecture 36 $set operator

    Lecture 37 $unset operator

    Lecture 38 $pop operator

    Lecture 39 $pull operator

    Lecture 40 $push operator

    Section 6: Schemas and Relations

    Lecture 41 Data Modelling in MongoDB

    Lecture 42 Demo: One To One Relation - Embedded

    Lecture 43 Demo: One To Many Relation - Embedded

    Lecture 44 Demo: One To Many Relation- Using References

    Lecture 45 Demo: Many To Many Relation - Using References

    Section 7: Using MongoDB Compass

    Lecture 46 Setup a cluster in MongoDB Atlas

    Lecture 47 Connect MongoDB Atlas with MongoDB Compass

    Lecture 48 Exploring Table View

    Lecture 49 Importing Files using MongoDB Compass

    Lecture 50 Querying Data using MongoDB Compass

    Section 8: Integrating MongoDB with frameworks and languages

    Lecture 51 MongoDB With Python

    Lecture 52 SparkWithMongo

    Students pursuing degrees in computer science, software engineering, data science, or related fields can gain valuable insights into MongoDB as part of their education.,IT professionals, system administrators, and network administrators who want to understand MongoDB's role in modern technology and infrastructure.,Database administrators who want to expand their knowledge beyond traditional relational databases and gain expertise in NoSQL databases like MongoDB.,Anyone looking to increase their productivity with databases.