The Complete Dummies Guide For Mongodb And Nosql Databases

[mitsumi]

The Complete Dummies Guide For Mongodb And Nosql Databases
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.70 GB | Duration: 3h 53m

Beginner to Professional Guide to Learn MongoDB Covering All Basics with Examples

What you'll learn
MongoDB Development
CRUD Operations
Indexes
Aggregation
Requirements
NO prior knowledge of any databases is required
Description
Hello and welcome to my new course 'The Complete Dummies Guide to MongoDB Server'. You already know that in this information technology age 'data' is everything. And a Database is the place where these information is stored in tables. There are two types of database. A structured database and also there is un-structured or no-sql kind of database. We will learn about the No-SQL kind of database and the most popular No-SQL databases the Mongo DB Server in this course. Here is an overview about the sessions that are included in this course.In the first session, we will have an introduction to database. Then we will see the concepts of SQL or Structured Query Language which is used in RDBMS in comparison with the No-SQL or non-RDBMS. And in the next session, we will move on to the basics of MongoDB server. We will see how we can install the MongoDB Community Edition into your computer and then we will download the MongoDB compass, which is a tool and the user interface. Also we will install the MongoDB shell which is a command line interface. And later we will connect Compass and Mongosh with our MongoDB Server that is running in the background. And then we will move on with MongoDB basic operations. We will see how we can select a database, create a collection and insert documents into that collection. These will be done both through the command line as well as the graphical user interface.In the next session we will see more details about the MongoDB collections. We will Create, Show and Drop collections with various options.And then we will get ourselves familiarized with the JSON and BSON formats which is used in Mongo DB. Then in the comming set of sessions, we will see the CRUD operations. The Create Operation with Insert One, Insert Many and their options. We will try the create operation both graphically as well as using command interface.Then comes the Read operation with Find method. We will explore different options of the find method.After that the update operation using the methods updateone, update many, find and modify, find and replace and the varions options that we can use along with these operations. We will try them both graphically and using the mongosh command line.And then finally the delete operations. Single delete using delete one and multiple delete using delete many. We will also try the bulk write operations in MongoDB.And then we will proceed with the basic operators of mongodb. Before we proceed we will create a nice collection by which we can demonstrate the operators. After that we will see how we can use the Equal and Not Equal Operators, Less than and greater than operators, and and nor operator, in and not in operation. We will also try examples for each operation.Then we will proceed with more complex operations like projection operation in mongodb which is similar to views in SQL where we can select ony the data we want. Then the limiting query, Skipping query and Sorting query operations for manipulation of result.In the next session, we will see the index and how search is using this index to make search easier. We will see the default index mechanism of mongodb and how we can override it and add new indexes, verify them and delete them and also about the text indexes.Then we will proceed with the concept of document atomicity in which all the documents and its related subdocuments are kept in the same collection and how we can manipulate it during specific actions.After that we will try the search and find operation using Regular Expressions. We can precisely manipulate the search operaton using Regular Expressions pattern matching. Then we will have a detailed session on the cursors in mongodb. Cursors return a pointer pointing to the documents in mongodb. We will create curors, retrive as an array and also we will iterate through the curors using javascript looping statements.Then we will have an elaborate session about the aggregation operation in mongo db. Just like joins in rdbms, it will combine data from different collections, perform conditions and sorting and deliver the result. We will see the single purpose aggregations like distinct, count, estimated document count etc and then we will see the agression pipeline. The different stages in aggregation pipleline. We will try a simple and also an advanced example from the mongodb official documentation. In the final session, I will also be providing you with the link to a free learning material from the mongodb official documentation if you want to dive more deep into mongodb aggregations and different operators and conditions used in it.And that's all about the topics which are currently included in this quick course. The sample database and the materials has been uploaded and shared in a folder. I will include the link to download them in the last session or the resource section of this course. You are free to use that with no questions asked.Also, after completing this course, you will provided with a course completion certificate which will add value to your portfolio. So that's all for now. See you soon in my classroom. Happy Learning !!
Overview
Section 1: Course Introduction and Table of Contents
Lecture 1 Introduction
Section 2: Introduction to DB and DBMS
Lecture 2 Introduction to DB and DBMS
Section 3: Introduction to SQL and NoSQL
Lecture 3 Introduction to RDBMS and NonRDBMS
Section 4: Introduction to Mongo DB
Lecture 4 Introduction to Mongo DB
Section 5: Installing MongoDB Server
Lecture 5 Installing MongoDB Server
Section 6: Basic Database Commands
Lecture 6 Basic Database Commands - Part 1
Lecture 7 Basic Database Commands - Part 2
Section 7: Collections Basics
Lecture 8 Collections Basics - Part 1
Lecture 9 Collections Basics - Part 2
Section 8: Introduction to JSON and BSON formats
Lecture 10 Introduction to JSON and BSON formats
Section 9: CRUD Operations - Create
Lecture 11 CRUD Operations - Create
Section 10: CRUD Operations - Insert One
Lecture 12 CRUD Operations - Insert One
Section 11: CRUD Operations - Insert Many
Lecture 13 CRUD Operations - Insert Many
Section 12: CRUD Operations - Read using Find
Lecture 14 CRUD Operations - Read using Find
Section 13: CRUD Operations - Update one and many
Lecture 15 CRUD Operations - Update one and many
Section 14: CRUD Operations - Find and Modify
Lecture 16 CRUD Operations - Find and Modify - Part 1
Lecture 17 CRUD Operations - Find and Modify - Part 2
Section 15: CRUD Operations - Delete One and Delete Many
Lecture 18 CRUD Operations - Delete One and Delete Many
Section 16: Bulk Write Operations
Lecture 19 Bulk Write Operations
Section 17: MongoDB Operators - Creating a nice collection
Lecture 20 MongoDB Operators - Creating a nice collection
Section 18: Equal Not Equal Operators
Lecture 21 Equal Not Equal Operators
Section 19: Less Than Greater Than Operators
Lecture 22 Less Than Greater Than Operators
Section 20: AND OR NOR Operators
Lecture 23 AND OR NOR Operators
Section 21: IN and NOT IN Operators
Lecture 24 IN and NOT IN Operators
Section 22: Projection Operation
Lecture 25 Projection Operation
Section 23: Limit Skip and Sort
Lecture 26 Limit Skip and Sort
Section 24: Index and Search
Lecture 27 Index and Search - Part 1
Lecture 28 Index and Search - Part 2
Section 25: Document Atomicity
Lecture 29 Document Atomicity - Part 1
Lecture 30 Document Atomicity - Part 2
Section 26: Regular Expression Search
Lecture 31 Regular Expression Search
Section 27: Cursors in MongoDB
Lecture 32 Cursors in MongoDB - Part 1
Lecture 33 Cursors in MongoDB - Part 2
Section 28: Aggregation Introduction and Single Purpose Aggregation
Lecture 34 Aggregation Introduction and Single Purpose Aggregation
Section 29: Agregation Pipeline Introduction and Simple Example
Lecture 35 Agregation Pipeline Introduction and Simple Example - Part 1
Lecture 36 Agregation Pipeline Introduction and Simple Example - Part 2
Section 30: Agregation Pipeline Extensive Example and Refrence
Lecture 37 Agregation Pipeline Extensive Example and Refrence - Part 1
Lecture 38 Agregation Pipeline Extensive Example and Refrence - Part 2
Section 31: Further Reference - MongoDB Official Documentation Ebook
Lecture 39 Further Reference - MongoDB Official Documentation Ebook
Beginners or those who want to learn a no-sql database from the scratch

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