MongoDB The Ultimate Administration and Developer Guide

MongoDB – The Ultimate Administration and Developers Guide, available at $59.99, has an average rating of 4.59, with 316 lectures, based on 185 reviews, and has 1344 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Scientists, Data Architects, Database Designer, Database Administrators, or Developers, who plan on (or are already) working with MongoDB or All Beginners or Advanced users who wants to explore all MongoDB features or Any professional or student who is looking for new add-ons to their skill sets or Anyone who is managing NoSQL projects or wants to learn NoSQL databases It is particularly useful for Data Scientists, Data Architects, Database Designer, Database Administrators, or Developers, who plan on (or are already) working with MongoDB or All Beginners or Advanced users who wants to explore all MongoDB features or Any professional or student who is looking for new add-ons to their skill sets or Anyone who is managing NoSQL projects or wants to learn NoSQL databases.

Enroll now: MongoDB – The Ultimate Administration and Developers Guide

Summary

Title: MongoDB – The Ultimate Administration and Developers Guide

Price: $59.99

Average Rating: 4.59

Number of Lectures: 316

Number of Published Lectures: 316

Number of Curriculum Items: 316

Number of Published Curriculum Objects: 316

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Data Scientists, Data Architects, Database Designer, Database Administrators, or Developers, who plan on (or are already) working with MongoDB

All Beginners or Advanced users who wants to explore all MongoDB features

Any professional or student who is looking for new add-ons to their skill sets

Anyone who is managing NoSQL projects or wants to learn NoSQL databases

Target Audiences

Data Scientists, Data Architects, Database Designer, Database Administrators, or Developers, who plan on (or are already) working with MongoDB

All Beginners or Advanced users who wants to explore all MongoDB features

Any professional or student who is looking for new add-ons to their skill sets

Anyone who is managing NoSQL projects or wants to learn NoSQL databases

Join this MongoDB course to learn all about this extremely popular database and query language from the ground up, in great detail and with many practical examples!

MongoDB is one of the most important NoSQL databases you can work with these days. MongoDB is able to handle large volumes of data while maximizing performance and adopt a flexible schema approach, giving you ultimate flexibility when modelling data.

In this course, you’ll learn all about MongoDB from scratch. No prior MongoDB or database experience is required!

The curriculum is comprehensive and is designed to take you from beginner to advance level.

In detail, you’ll learn:

? how to architect, design and administrate the MongoDB database system with most recent version 6.0

? how to install and use MongoDB locally on Windows and Linux OS

? how to implement High Availability in MongoDB using replica set and work with it

? how to implement High Scalability in MongoDB using Sharding feature and work with it

? how to perform Data Modeling efficiently

? how to enforce data Security on database instances and work with it

? how to work with various Database Tools available for backup/restore and statistics purposes

? how to perform CRUD(Create, Read, Update, Delete) operations on MongoDB databases

? how to filter data efficiently

? how to work with the Mongo Shell

? how to work with various types of Indexes in MongoDB

? how to increase query performance by using indexes (and how to use the right indexes!)

? how to use the amazing “Aggregation Framework” that’s built into MongoDB

? and much more!

This course is a hands-on course – you’ll learn by working alongside with me. We’ll work on a wide variety of example data and use-cases and by the end of the course, you’ll have all the knowledge you need to work with MongoDB in your next project!

Course Curriculum

Chapter 1: Welcome

Lecture 1: Welcome to the Course!

Chapter 2: Introduction to NoSQL

Lecture 1: Introduction to NoSQL

Lecture 2: Types of NoSQL Databases

Lecture 3: SLIDES – Introduction to NoSQL

Chapter 3: Introduction to MongoDB

Lecture 1: Introduction to MongoDB

Lecture 2: Difference between MongoDB and RDBMS

Lecture 3: Introduction to CAP Theorem

Lecture 4: Introduction to JSON

Lecture 5: Introduction to BSON and Types

Lecture 6: Introduction to MongoDB Document

Lecture 7: SLIDES and PRACTICE – Introduction to MongoDB

Chapter 4: MongoDB Installation

Lecture 1: MongoDB Installation Options

Lecture 2: MongoDB Installation on Windows

Lecture 3: MongoDB Installation on Linux (Ubuntu)

Lecture 4: MongoDB Installation on Linux (Tarball)

Lecture 5: Databases and Collections

Lecture 6: Views and Capped Collections

Lecture 7: SLIDES and PRACTICE – MongoDB Installation

Chapter 5: Introduction to MongoDB Shell

Lecture 1: What is MongoDB Shell

Lecture 2: Configuring MongoDB Shell

Lecture 3: Accessing the MongoDB Shell Help

Lecture 4: Understanding Data Types in MongoDB Shell

Lecture 5: SLIDES and PRACTICE – Introduction to MongoDB Shell

Chapter 6: Basics of CRUD Operations

Lecture 1: Introduction to CRUD Operations

Lecture 2: Creating Database and Collections

Lecture 3: Insert Operation

Lecture 4: Read (Query) Operation

Lecture 5: Update Operation

Lecture 6: Delete (Remove) Operation

Lecture 7: SLIDES and PRACTICE – Basics of CRUD Operations

Chapter 7: In-depth Insert Operations

Lecture 1: Overview of Insert Methods

Lecture 2: insert() Method

Lecture 3: insertOne() Method

Lecture 4: InsertMany() Method

Lecture 5: _id Field

Lecture 6: Inserting Complex Documents

Lecture 7: SLIDES and PRACTICE – In-depth Insert Operations

Chapter 8: In-depth Read Operations

Lecture 1: Overview of Read Methods

Lecture 2: findOne() Method

Lecture 3: find() Method

Lecture 4: Query Nested or Embedded Documents

Lecture 5: Query an Array Field in Documents

Lecture 6: Query an Array of Embedded Documents

Lecture 7: Project Fields to Return from Query

Lecture 8: Iterate the Cursor

Lecture 9: Query and Projection Operators

Lecture 10: Comparison Operators – $eq, $in, $ne, $nin

Lecture 11: Comparison Operators – $gt, $gte, $lt, $lte

Lecture 12: Logical operators – $and, $or

Lecture 13: Logical operators – $not, $nor

Lecture 14: Element Operators – $exists, $type

Lecture 15: Evaluation Operators – $expr, $regex

Lecture 16: Array Operators – $all, $elemMatch, $size

Lecture 17: Projection Operators – $, $elemMatch

Lecture 18: SLIDES and PRACTICE – In-depth Read Operations

Chapter 9: In-depth Update Operations

Lecture 1: Overview of Update Methods

Lecture 2: update() Method with $set Operator

Lecture 3: update() Method with $unset Operator

Lecture 4: updateOne() Method

Lecture 5: updateMany() Method

Lecture 6: replaceOne() Method

Lecture 7: Update with Upsert Operations

Lecture 8: Field Update Operators

Lecture 9: $currentDate Operator

Lecture 10: $rename Operator

Lecture 11: $inc, $min, $max, $mul Operators

Lecture 12: Array Update Operators

Lecture 13: Placeholder Operator – $

Lecture 14: $addToSet Operator

Lecture 15: $pop Operator

Lecture 16: $pull, $pullAll Operators

Lecture 17: $push Operator

Lecture 18: $each Operator with $push and $addToSet Operators

Lecture 19: Sort Array Elements using $sort+ $push Operators

Lecture 20: SLIDES and PRACTICE – In-depth Update Operations

Chapter 10: In-depth Delete Operations

Lecture 1: Overview of Delete Methods

Lecture 2: deleteOne() Method

Lecture 3: deleteMany() Method

Lecture 4: remove() Method

Lecture 5: Dropping MongoDB Collections

Lecture 6: Dropping MongoDB Databases

Lecture 7: SLIDES and PRACTICE – In-depth Delete Operations

Chapter 11: Additional CRUD Related Methods

Lecture 1: Overview of Additional CRUD Methods

Lecture 2: findOneAndDelete() Method

Lecture 3: findOneAndReplace() Method

Lecture 4: findOneAndUpdate() Method

Lecture 5: findAndModify() Method

Lecture 6: bulkWrite() Method

Lecture 7: SLIDES and PRACTICE – Additional CRUD Related Methods

Instructors

Firoj Atar
Data Scientist (NoSQL)

Rating Distribution

1 stars: 11 votes

2 stars: 2 votes

3 stars: 16 votes

4 stars: 43 votes

5 stars: 113 votes

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