Getting Started with MongoDB and NoSQL

[mitsumi]

Getting Started with MongoDB and NoSQL
ISBN: 0136535860 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4+ Hours | 4.7 GB
Instructor: Caleb Curry

Overview

The need for unstructured data management has grown beyond what many have expected with overwhelming amounts of data being generated from social media, cell phones, voice and video data, cars, smart technology, and IoT. How can we store this data and allow ourselves to build applications not strictly tied to a structure defined by columns in a table? You can do so with unstructured databases such as MongoDB! MongoDB is the premier database in the NoSQL landscape, and this course provides the fundamental concepts and tools needed to make use of dynamic database systems. If you have SQL experience and want to expand to NoSQL databases, or if you're fairly new to databases but you want to understand what all the hype around MongoDB is about, this course is your ticket!

Description

This LiveLesson gives first-time MongoDB users what they need to become successful database developers. Caleb Curry starts by clearly defining what MongoDB is and when you should consider it over a relational database. Throughout the course, Curry shows best practices on how to use MongoDB properly and avoid common pitfalls. He covers structured versus unstructured data, setup and getting started, CRUD commands (create, read, update, delete), aggregation, data models, transactions, indexes, security and authentication, administration, storage engines, and more. After finishing this course, users can create and manage a MongoDB database for their own data-driven applications.

Skill Level: Beginning to Intermediate

What You Will Learn

Learn the differences between structured and unstructured data
Understand JSON, nested documents, and references
Deploy a MongoDB cluster in the cloud using MongoDB Atlas
Interface with this database through MongoDB Compass
Execute essential commands through Mongo Shell
Issue commands to MongoDB
Query data using the MongoDB Query Language
Understand data structure, data integrity, and schema validation
Understand when to use references and how this affects data integrity
Contrast key NoSQL databases by understanding what each has to offer

Who Should Take This Course

Database developer
Software developer

Course Requirements

Prerequisites:

General SQL skills are helpful, but not required
     

               

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