Learn MongoDB from scratch: Absolute beginner's introduction

Learn MongoDB from scratch: Absolute beginner's introduction, available at $44.99, has an average rating of 4.15, with 41 lectures, based on 47 reviews, and has 2493 subscribers.

You will learn about Download and install MongoDB Modify environment variables Start and stop mongoDB server Connect to MongoDB using python Perform CRUD operations Create a database Create a collection Insert documents Combine collections Import data into mongoDB Backup and restore mongoDB Create indexes This course is ideal for individuals who are Beginner programmers or Beginner developers or Beginner data analayst or Anyone who wants to learn something new It is particularly useful for Beginner programmers or Beginner developers or Beginner data analayst or Anyone who wants to learn something new.

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Summary

Title: Learn MongoDB from scratch: Absolute beginner's introduction

Price: $44.99

Average Rating: 4.15

Number of Lectures: 41

Number of Published Lectures: 41

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: $119.99

Quality Status: approved

Status: Live

What You Will Learn

Download and install MongoDB
Modify environment variables
Start and stop mongoDB server
Connect to MongoDB using python
Perform CRUD operations
Create a database
Create a collection
Insert documents
Combine collections
Import data into mongoDB
Backup and restore mongoDB
Create indexes

Who Should Attend

Beginner programmers
Beginner developers
Beginner data analayst
Anyone who wants to learn something new

Target Audiences

Beginner programmers
Beginner developers
Beginner data analayst
Anyone who wants to learn something new

MongoDB is a document-oriented DBMS, with JSON-like objects comprising the data model, rather than RDBMS tables. MongoDB does not support joins nor transactions. However, it features secondary indexes, an expressive query language,
atomic writes on a per-document level, and fully-consistent reads. MongoDB uses BSON, a binary object format similar to,
but more expressive than JSON.
.
MongoDB uses dynamic schemas. We can create collections without defining the structure,i.e. the fields or the types of their values, of the documents. You can change the structure of documents simply by adding new fields or deleting existing ones. Documents in a collection need unique set of fields.

MongoDB database stores its data in collections not in tables The collections are the rough equivalent of RDBMS tables.
A collection holds one or more documents, which corresponds to a record or a row in a relational database table, and each document has one or more fields, which corresponds to a column in a relational database table.

As one of the NoSQL database engines, MongoDB is a pretty trendy product at the moment. MongoDB provides for a fairly permissive database experience (compared to that of a relational database). The MongoDB schema is dynamic, which allows you to insert data in a very flexible way.
One of the key use cases for MongoDB is storing unstructured data, such as from sensor arrays.
MongoDB can comfortably chomp away at large data streams, providing a resilient repository.

What you will learn

How to setup your environment of a local mongoDB database
How to create a database in mongoDB
How to create a collection in mongoDB
How to drop a database in mongoDB
How to create a CRUD operations in mongoDB
How interact with mongoDB using python
How to combine collections in MongoDB

Course Curriculum

Chapter 1: Introduction and Environment Setup

Lecture 1: Introduction

Lecture 2: What is MongoDB

Lecture 3: Download and install MongoDB

Lecture 4: Installing MongoDB for Mac OSX

Lecture 5: Modifying environment variables

Lecture 6: Creating a storage directory for mongoDB

Lecture 7: Starting and Stopping MongoDB

Lecture 8: What is Nodejs

Lecture 9: Download and install nodejs

Lecture 10: What is npm

Lecture 11: What is JSON

Lecture 12: JSON syntax

Lecture 13: Creating a JSON object

Lecture 14: What is Python

Lecture 15: Download and install python

Lecture 16: Install Httpie

Lecture 17: MongoDB data modelling

Lecture 18: Create a sample JSON document

Lecture 19: MongoDB Data Types

Lecture 20: MongoDB Vs RDBMS Terminologies

Chapter 2: Performing CRUD Operations

Lecture 1: Creating a database

Lecture 2: Dropping a database

Lecture 3: Inserting Documents into MongoDB

Lecture 4: Querying a document in mongoDB

Lecture 5: Updating a document

Lecture 6: Deleting a document

Chapter 3: Importing Data and Joining Collections

Lecture 1: Creating csv files

Lecture 2: Exploring dataset structures

Lecture 3: Using the mongoimport tool

Lecture 4: Importing data into mongo db

Lecture 5: Introduction to joining collections

Lecture 6: Joining collections

Chapter 4: More Interactions with MongoDB

Lecture 1: Limiting data

Lecture 2: Indexes

Lecture 3: Connecting to mongoDB via Python

Lecture 4: Querying MongoDB using python

Lecture 5: Creating a document with python

Lecture 6: Inserting a document with python shell

Lecture 7: Backing up mongoDB

Lecture 8: Restoring MongoDB

Lecture 9: Thank You

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 1 votes
2 stars: 4 votes
3 stars: 5 votes
4 stars: 19 votes
5 stars: 18 votes

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