MongoDB - The Ultimate Administration and Developer's Guide from Udemy

What's inside

Learning objectives

Perform full-fledged mongodb design, architecture and administration with most recent mongodb version 6.0.
Understand in-depth mongodb replication for high availability and replica set management
Understand in-depth mongodb sharding for horizontal scaling and related concepts
Understand and work on mongodb security with role based access control
Learn in-depth crud (create, read, update, delete) operations and write efficient queries with various query operators
Understanding in-depth aggregation pipeline and perform various aggregation queries with variety of expression operators
Understand and create mongodb supported indexes and related properties including special mongodb indexes - multikey index, text index, geospatial indexes

Understand and perform mongodb query performance tuning using profiling and explain methodology
Understand and use mongodb database tools - mongodump, mongorestore, mongoexport, mongoimport, mongotop, mongostat, bsondump, mongofiles
Understand the concept of data modeling, schema validations and storage engines in mongodb
Perform mongodb administration and maintenance operations
Build strong basics around mongodb key concepts with easy to understand format
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Perform full-fledged mongodb design, architecture and administration with most recent mongodb version 6.0.
Understand in-depth mongodb replication for high availability and replica set management
Understand in-depth mongodb sharding for horizontal scaling and related concepts
Understand and work on mongodb security with role based access control
Learn in-depth crud (create, read, update, delete) operations and write efficient queries with various query operators
Understanding in-depth aggregation pipeline and perform various aggregation queries with variety of expression operators
Understand and create mongodb supported indexes and related properties including special mongodb indexes - multikey index, text index, geospatial indexes
Understand and perform mongodb query performance tuning using profiling and explain methodology
Understand and use mongodb database tools - mongodump, mongorestore, mongoexport, mongoimport, mongotop, mongostat, bsondump, mongofiles
Understand the concept of data modeling, schema validations and storage engines in mongodb
Perform mongodb administration and maintenance operations
Build strong basics around mongodb key concepts with easy to understand format
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Show less

Syllabus

Welcome

Welcome to the Course!

Introduction to NoSQL

In this theory session we are going to discuss what is NoSQL databases, their Key features and Use cases where NoSQL Databases can be used.

In this session we are going to discuss about different types of NoSQL databases i.e. Key-Value stores, column-oriented databases, Graph Databases and Document databases.

Attached Resources such as SLIDES and PRACTICES needed for this module.

In this session we are going to discuss what is MongoDB database and how it evolved with time along with its key features.

In this session we are going to discuss about the major differences we see between MongoDB and RDBMS databases.

In this session we are going to discuss in depth about CAP theorem i.e. Brewer's Theorem and how NoSQL databases fit with it.

In this session we are going to discuss about JavaScript Object Notation i.e. JSON along with some of the examples.

In this session we are going to learn what is BSON and its key role in MongoDB. Also, we are going to look into different datatypes available with BSON.

MongoDB stores data into documents and we are going to understand in depth about documents.

In this tutorial we will learn about how to use Shell helpers in MongoDB.

In this demo example, we are going to explore what are the different platforms MongoDB can be installed along with their installation options.

In this tutorial we will install MongoDB server and MongoDB shell and Compass on Windows OS. MongoDB will be setup as a service.

In this tutorial we will install MongoDB on Ubuntu flavor of Linux OS using Linux package manager.

In this tutorial we will install MongoDB on Linux OS using database tarball. We will use tarball installations for MongoDB server as well as MongoDB shell.

With this session we will learn what is database and collection concepts in MongoDB along with Pictorial examples.

In this session we will learn what is view with example and understand a special type of collection i.e. Capped Collection with pictorial example.

In this session we will learn about the MongoDB's JSON prompt used for read, write and administration purposes. Also perform various demos on how to connect to MongoDB Shell.

In this tutorial we will perform 3 various DEMOs to configure MongoDB shell prompt as per our interests.

In this session we are going to explore what are different datatypes and check types available with MongoDB Shell.

Introducing the CRUD operations in MongoDB and how they play major roles in read and write operations on database.

In this tutorial we will learn about creating databases and collections. Also going to look into different ways to create collections and multiple examples to create Capped Collection.

Brief introduction on Insert or Create operations in MongoDB with examples.

Brief introduction on Read or Query operations in MongoDB with examples.

Brief introduction on Update operations in MongoDB with examples.

Brief introduction on Delete or Remove operations in MongoDB with examples.

This session is dedicated to the overview of Insert Methods available in MongoDB. This section mainly focuses on Insert methods and way of working with them.

Understand insert() method for inserting data into the collection along with syntax of writing the query. We are also going to perform DEMO for multiple examples.

Understand insertOne() method for inserting single document into the collection along with syntax of writing the query. We are also going to perform DEMO for multiple examples.

Understand insertMany() method for inserting multiple documents into the collection along with syntax of writing the query. We are also going to perform DEMO for multiple examples.

In this session we will learn in-depth about _id field under the MongoDB document which acts as Primary key of the document.

In this tutorial we will perform insertion of complex JSON document under the MongoDB collection.

This session is dedicated to the overview of Read Methods available in MongoDB. This section mainly focuses on Read methods and way of working with them.

Understand findOne() method for querying the data to return single document under the collection along with syntax of writing the query. We are also going to perform DEMO for multiple examples.

Understand find() method for querying the data to return multiple documents from the collection along with syntax of writing the query. We are also going to perform DEMO for multiple examples.

In this tutorial we will understand how to query data against nested or embedded fields or sub-documents from the collection along with syntax of writing the query. We are going to perform DEMOs for multiple examples.

In this tutorial we will learn how to query data against array fields from the collection along with syntax of writing the query. We are going to perform DEMOs for multiple examples.

In this tutorial we will learn how to query data against array of nested or embedded fields or sub-documents from the collection along with syntax of writing the query. We are going to perform DEMOs for multiple examples.

Projection is way of reporting data on the output result set. In this tutorial we will learn how to project data against fields, array of fields, embedded documents, array of embedded documents from the collection using Read Methods.

In this tutorial we will learn about iterating the cursor in MongoDB. We will perform DEMOs with multiple examples on next() and forEach() methods for iterating the cursor from the collection data.

In this overview session we will learn about different types of Query and Projection operators available in MongoDB and their key role in using under query.

In this tutorial we will learn on Comparison Query Operators like $eq, $in, $ne, $nin available in MongoDB with multiple DEMOs on examples.

In this tutorial we will learn on Comparison Query Operators like $gt, $gte, $lt, $lte available in MongoDB with multiple DEMOs on examples.

In this tutorial we will learn about Logical Query Operators like $and, $or available in MongoDB with multiple DEMOs on examples.

In this tutorial we will learn about Logical Query Operators like $not, $nor available in MongoDB with multiple DEMOs on examples.

In this tutorial we will learn about Element Query Operators like $exists and $type available in MongoDB with multiple DEMOs on examples.

In this tutorial we will learn about Evaluation Query Operators like $expr and $regex available in MongoDB with multiple DEMOs on examples.

In this tutorial we will understand about Array Query Operators like $all, $elemMatch and $size available in MongoDB with multiple DEMOs of examples.

In this tutorial we will understand about Projection Operators like positional-$, $elemMatch available in MongoDB with multiple DEMOs of examples.

This session is dedicated to the overview of Update Methods available in MongoDB. This section mainly focuses on Update methods and way of working with them.

In this tutorial session we will learn about update() method in depth. Also, we will understand the syntax of the method and work with $set operator, multi parameter, replacement options with multiple DEMOs.

In this tutorial we will learn how to use $unset operator with update() method in updating the documents under the collection with multiple DEMOs.

Understand updateOne() method for updating single document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand updateMany() method for updating multiple documents under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand replaceOne() method for replacing the existing documents or fields of the documents under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand how upsert operation works with update methods along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

In this overview session we will look into Field Update Operators which are used to update the fields under the document in MongoDB collection.

In this tutorial we will learn about $currentDate Field Update Operators and how to use it for updating the fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn about $rename Field Update Operators and how to use it for renaming the field names under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn about Field Update Operators like $inc, $min, $max, $mul and how to use them for updating the fields under the document in MongoDB collection with multiple DEMOs.

In this overview session we will look into Array Update Operators which are used to update the array fields under the document in MongoDB collection.

In this tutorial we will learn about placeholder operator $ which is one of the Array Update Operator and how to use it for updating the array fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn about $addToSet Array Update Operator and how to use it for updating the array fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn about $pop Array Update Operator and how to use it for updating the array fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn about $pull and $pullAll Array Update Operators and how to use them for updating the array fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn about $push Array Update Operator and how to use it for updating the array fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will learn the behavior of update operation when used $each operator with $push and $addToSet Array Update Operators for updating the array fields under the document in MongoDB collection with multiple DEMOs.

In this tutorial we will perform sorting operation against array field elements using $sort operator with $push Array Update Operator to update the data under the document in MongoDB collection.

This session is dedicated to the overview of Delete Methods available in MongoDB. This section mainly focuses on Delete (Remove) methods and way of working with them.

Understand deleteOne() method for deleting single document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand deleteMany() method for deleting multiple documents under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand remove() method for removing/deleting single or multiple documents under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

In this tutorial we will drop collection under the database using drop() method in MongoDB.

In this tutorial we will drop database under the MongoDB instance using dropDatabase() method.

This session is dedicated to the overview of Additional CRUD related Methods available in MongoDB. This section mainly focuses on such methods and way of working with them.

Understand findOneAndDelete() method for removing/deleting single document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand findOneAndReplace() method for replacing the existing single document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand findOneAndUpdate() method for updating single document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand findAndModify() method for updating or deleting single document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Understand bulkWrite() method for inserting, updating or replacing or deleting single or many document under the collection along with syntax of writing the query. We are also going to perform DEMOs for multiple examples.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers MongoDB version 6.0, which is the latest version and ensures learners are up-to-date with current features and functionalities

Explores replica sets and sharding, which are essential for implementing high availability and scalability in MongoDB deployments

Teaches the Aggregation Framework, which is a powerful tool for data processing and analysis within MongoDB

Examines database tools like mongodump and mongorestore, which are critical for backup and recovery strategies

Discusses data modeling and schema validation, which are important for designing efficient and maintainable MongoDB databases

Requires learners to install MongoDB locally on Windows or Linux, which may require some learners to configure their systems

Reviews summary

Comprehensive mongodb admin and dev guide

According to learners, this course provides a comprehensive foundation for both MongoDB administration and development. Students say it covers everything from the basics to advanced topics like sharding and replication. Many appreciate the extensive hands-on demos and practical examples that help solidify understanding. While it offers a strong overview, some reviewers suggest that certain advanced areas could benefit from more in-depth coverage. Potential students should be aware that setting up the local environment might present some initial challenges depending on their system. Overall, it's seen as a valuable resource for professionals looking to master MongoDB.

Instructor explains complex ideas clearly.

"The instructor explains complex concepts like sharding and replication in an easy-to-understand manner."

"His explanations are clear and concise."

"Great teaching style that keeps you engaged."

Practical examples throughout the course.

"The number of practical demos and examples is excellent, really helps solidify understanding."

"Learning by doing with the instructor is the best part."

"I could follow along easily and apply the concepts immediately."

Covers wide range from intro to advanced.

"This course covers everything from the absolute basics right up to complex topics like sharding and replication."

"I appreciate the breadth of topics covered, from administration to development tasks."

"Provides a strong foundation and dives deep into many essential MongoDB features."

Potential difficulties with environment setup.

"Getting the local environment set up perfectly took some troubleshooting, especially on Linux."

"The installation steps were clear, but OS differences can still cause issues."

"Had some minor problems following along initially due to my specific setup."

Some advanced areas could use more detail.

"While comprehensive, some advanced topics like query optimization or specific administration tasks felt a bit rushed."

"Could use more in-depth coverage on complex topics or optimization techniques."

"I wished there were more examples for the aggregation framework beyond the basics."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in MongoDB - The Ultimate Administration and Developer's Guide with these activities:

Review NoSQL Concepts

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Solidify your understanding of NoSQL database concepts before diving into MongoDB. This will help you appreciate MongoDB's design choices and advantages.

Browse courses on NOSQL Databases

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Read articles comparing NoSQL and relational databases.
Review the CAP theorem and its implications.
Identify different types of NoSQL databases.

Read 'MongoDB: The Definitive Guide'

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Supplement your learning with a comprehensive guide to MongoDB. This book will provide additional context and examples to reinforce the course material.

View MongoDB on Amazon

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Read the chapters relevant to the current course module.
Try out the examples provided in the book.
Compare the book's explanations with the course content.

Practice CRUD Operations

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Reinforce your understanding of CRUD operations by performing repetitive exercises. This will help you become proficient in creating, reading, updating, and deleting data in MongoDB.

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Create a sample database and collection.
Insert multiple documents with varying data types.
Query the data using different filter criteria.
Update existing documents with different operators.
Delete documents based on specific conditions.

Four other activities

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Read 'Practical MongoDB'

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Deepen your understanding of MongoDB with a practical guide. This book will provide real-world examples and use cases to enhance your learning.

View Practical MongoDB on Amazon

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Read the chapters relevant to your interests.
Implement the examples provided in the book.
Compare the book's advice with your own experiences.

Document Data Modeling Strategies

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Solidify your understanding of data modeling by creating a presentation. This will force you to think critically about how to structure data effectively in MongoDB.

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Research different data modeling patterns in MongoDB.
Choose a specific use case for your presentation.
Design a data model that addresses the use case.
Create slides explaining your design choices.
Present your data model to peers for feedback.

Build a Simple API with MongoDB

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Apply your knowledge by building a simple API that interacts with a MongoDB database. This will give you practical experience with connecting to MongoDB from an application.

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Choose a framework (e.g., Node.js with Express).
Set up a MongoDB database and populate it with data.
Create API endpoints for CRUD operations.
Test your API endpoints thoroughly.
Document your API for future use.

Design a MongoDB Sharding Strategy

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Master sharding by designing a strategy for a large dataset. This will test your understanding of shard keys, chunk splitting, and balancing.

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Define the requirements for a sharded MongoDB cluster.
Choose an appropriate shard key for your data.
Plan the deployment of your sharded cluster.
Document your sharding strategy in detail.
Present your strategy to peers for feedback.

Career center

Learners who complete MongoDB - The Ultimate Administration and Developer's Guide will develop knowledge and skills that may be useful to these careers:

Database Administrator

A database administrator is responsible for the performance, integrity, and security of a database system. They install, configure, and maintain databases, and also ensure data availability and security. This MongoDB course helps prepare aspiring database administrators by providing a deep understanding of MongoDB architecture, administration, and security features. The course covers essential topics like high availability using replica sets, scalability using sharding, and data security, all of which are critical for a database administrator. The detailed modules on installation, backup, and restore are particularly useful for someone who wants to become a database administrator.

See salaries and explore the career path for Database Administrator

Database Developer

Database developers design, develop, and implement database systems. They create database schemas, write queries, and optimize performance. This MongoDB course helps aspiring database developers by teaching them how to effectively model data and perform CRUD operations using the Mongo Shell. The course also covers advanced topics such as indexing, which is crucial for query performance, and the Aggregation Framework, which enables developers to perform complex data analysis. This detailed approach to database operations makes the course a good choice for those wishing to become a database developer.

See salaries and explore the career path for Database Developer

Data Engineer

Data engineers build and maintain the infrastructure that allows data to be collected, stored, and analyzed. A data engineer may work with many types of data, including NoSQL databases like MongoDB. This MongoDB course offers a great introduction to data engineering and how it relates to NoSQL technologies. The course teaches how to install and manage MongoDB clusters, which helps engineers understand how to implement highly available and scalable systems. Additionally, the modules on data modeling and efficient querying are also important skills for a data engineer.

See salaries and explore the career path for Data Engineer

Backend Developer

Backend developers work on the server-side logic, databases, and APIs that power applications. This course provides the skills a backend developer needs to successfully use MongoDB as a database solution. The course content, covering how to perform CRUD operations and implement complex queries using the Aggregation Framework, is highly relevant for backend development. By learning about data modeling and performance tuning, a backend developer with this knowledge may be able to optimize their applications.

See salaries and explore the career path for Backend Developer

Software Engineer

Software engineers design and develop software applications. They often need to interact with databases to store and retrieve data. This MongoDB course may be useful for a software engineer who wishes to learn about working with NoSQL databases, particularly MongoDB. The course includes modules on how to perform CRUD operations efficiently, how to use indexes to improve query performance, and how to use the Aggregation Framework. Software engineers who wish to use MongoDB will find the course valuable.

See salaries and explore the career path for Software Engineer

Solutions Architect

Solutions architects design and implement system architectures for software. They choose the right technologies and frameworks for a project. This MongoDB course may be useful for a solutions architect who wants to gain knowledge of NoSQL databases, and MongoDB specifically. The course covers key aspects of MongoDB architecture, such as high availability with replica sets and scalability with sharding. Understanding these aspects helps a solutions architect choose the right database solution for a project.

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Data Analyst

Data analysts examine data to identify trends and insights that can help organizations make better decisions. While data analysts do not usually build or administer databases, they may be required to interface with them. This MongoDB course may be useful for data analysts who wish to learn how to query data from MongoDB using the Mongo Shell and the Aggregation Framework. The course provides instruction on data filtering and other methods that a data analyst may need to examine data stored using Mongo. This may help data analysts gain necessary SQL skills.

See salaries and explore the career path for Data Analyst

System Administrator

System administrators maintain computer systems and servers. While system administrators do not work directly with databases, they are responsible for ensuring that database servers are running correctly. This course may be useful to a system administrator who needs to learn to install and configure a MongoDB database server. They may be responsible for tasks like server installation, backup, and restore, which are all covered in this course. The modules on Linux installations may also be useful to system administrators.

See salaries and explore the career path for System Administrator

Technical Consultant

Technical consultants advise clients on technology implementations. Technical consultants may need to evaluate database systems for their clients. This MongoDB course may be useful to a technical consultant who wishes to learn the basics of MongoDB administration and development. The course covers key topics like installation, security, and querying. Understanding these aspects allows a technical consultant to better evaluate MongoDB as a solution for their client.

See salaries and explore the career path for Technical Consultant

Technical Support Engineer

Technical support engineers provide support for software products or services. They may need to understand how to troubleshoot issues related to databases. This MongoDB course may be useful for a technical support engineer who seeks to learn about working with MongoDB databases. The course covers essential topics such as installation, configuration, and basic querying. The knowledge may be useful to engineers who need to solve MongoDB related issues.

See salaries and explore the career path for Technical Support Engineer

Cloud Engineer

Cloud engineers manage and maintain cloud infrastructure. Many cloud services include database offerings, and a cloud engineer may need to understand how to work with them. This MongoDB course may be useful for a cloud engineer who needs to work with MongoDB in a cloud environment. The course covers the basics of database installation, administration, and security, which are important skills for a cloud engineer.

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DevOps Engineer

DevOps engineers manage the development and operations process. They are responsible for automating tasks and ensuring that applications are deployed smoothly. This MongoDB course may be useful to a DevOps engineer who would like to understand how to manage a MongoDB instance in a development or production environment. The course provides instruction on installation, and other topics that are essential to DevOps. The learning objective on MongoDB Administration and Maintenance Operations may be useful to this career role.

See salaries and explore the career path for DevOps Engineer

Business Intelligence Analyst

Business intelligence analysts examine data to identify trends. While they may not work directly with databases, they need to understand how to access and retrieve data. This MongoDB course may be useful for a business intelligence analyst who wants to learn how to query data from a MongoDB database. The course covers how to filter and aggregate data, which may be helpful to the business intelligence analyst as part of their work. These may be valuable skills for those who need to retrieve data from MongoDB.

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Information Systems Manager

Information systems managers are in charge of an organization’s information technology. These roles often require a good understanding of databases. Individuals in this role may find that this course is helpful as it introduces the basics of MongoDB. They may use this knowledge to guide or direct their teams. This course provides instruction on database administration and security which may help information systems managers oversee a team that uses these technologies.

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Project Manager

Project managers plan and manage projects. They may need to understand the technical aspects of a project to effectively manage it. This MongoDB course may be useful to a project manager who needs to understand the database component of a software development project. The project manager may use the information to make informed decisions about project timelines and resource allocations. The course provides a base of knowledge about database concepts.

See salaries and explore the career path for Project Manager

MongoDB - The Ultimate Administration and Developer's Guide

What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive mongodb admin and dev guide

Activities

Career center

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