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Implement Polyglot Persistence Using SQL and NoSQL Databases

Implement Polyglot Persistence Using SQL and NoSQL Databases

This course is part of RESTful Microservices Using Node.js and Express Specialization

Instructor: NIIT

Included with

Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Implement Polyglot Persistence using MySQL and Mongo Database

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the RESTful Microservices Using Node.js and Express Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Have you ever wondered what happens to the registration details after you click on the submit button or to the order details once you press the confirm order button when you try to access any website? From where do you think, the details of the product catalogue are fetched to be displayed on the browser?

All dynamic or interactive applications should be able to store the details provided by the user and retrieve them when requested. Most websites require a database. This course will take you through the process of creating, retrieving, updating, and deleting data using SQL and NoSQL databases. It also challenges you with hands-on practices that enable you to perform database operations using shell commands and GUI tools.

Module details

Over the last 3 decades, RDBMS has been a stable database for large global corporations and small business. Most employers mandate SQL skills as a necessary check in their recruitment process. As a software engineer, you will be required and be able to work with MySQL database to create, store, query and analyze data from RDBMS. In this learning sprint, you will learn how to model data using the ER diagram. You will implement MySQL shell commands to perform CRUD operations. The hands-on exercises, in this learning sprint will also enable you to build RESTful APIs using Node.js and MySQL database.

What's included

17 videos2 readings1 assignment2 programming assignments

17 videosTotal 98 minutes

Context Setting5 minutes
Explain ER Model and Data Normalization14 minutes
Demonstrate MySQL installation1 minute
Watch and Repeat : Download and Install MySQL6 minutes
Implement SQL commands to perform CRUD operations10 minutes
Watch and Repeat : Create database and tables using DDL commands6 minutes
Watch and Repeat : Manipulate data using DML commands8 minutes
Watch and Repeat : Retrieve data using DQL commands8 minutes
Build RESTful API using Node.js and MySQL database5 minutes
Watch and Repeat : Integrate MySQL with Node.js using Node.js driver for MySQL3 minutes
Watch and Repeat : Build REST API Using Node.js and MySQL Part110 minutes
Watch and Repeat : Build REST API Using Node.js and MySQL Part25 minutes
Practice Brief5 minutes
Practice Debrief3 minutes
Challenge Brief3 minutes
Challenge Debrief3 minutes
Learning Consolidation1 minute

2 readingsTotal 20 minutes

Instructions to upload the Programming Assignment Solution10 minutes
Eliminate Data Redundancy Using Relational Data Model10 minutes

1 assignmentTotal 30 minutes

Eliminate Data Redundancy Using Relational Data Model30 minutes

2 programming assignmentsTotal 240 minutes

Keep Note MySQL Queries75 minutes
Keep Note – Integration with Node.js165 minutes

For a customer facing system of engagement, it is crucial to have a database that can handle unstructured and unpredictable data. NoSQL document database like MongoDB fulfills this criteria. As a back-end programmer, you will be required to resolve the mismatch between the storage and application systems and accordingly model data to make processing efficient. In this learning sprint, you will identify steps to model data for MongoDB database. You will learn to setup MongoDB in local machines and perform CRUD operations using the shell commands. In addition, the hands-on exercises will help you gain experience with various techniques used to integrate MongoDB with Node.js RESTful APIs.

What's included

22 videos1 reading1 assignment2 programming assignments

22 videosTotal 99 minutes

Context Setting3 minutes
Model data using MongoDB9 minutes
Demonstrate MongoDB installation2 minutes
Watch and Repeat : Installing Mongo7 minutes
Make use of Mongo shell commands to perform CRUD operations7 minutes
Watch and Repeat : CRUD With MongoDB Shell Commands Part14 minutes
Watch and Repeat : CRUD With MongoDB Shell Commands Part25 minutes
Watch and Repeat : CRUD With MongoDB Shell Commands Part33 minutes
Utilize the MongoDB Node driver to establish a connection with the Node.js application2 minutes
Watch and Repeat : Integrate MongoDB With Node.js Using MongoDB Node Driver5 minutes
Model application data to develop a schema-based solution using Mongoose2 minutes
Watch and Repeat : Integrating MongoDB With Node.js using Mongoose 6 minutes
Build RESTful API using Node.js and MongoDB4 minutes
Watch and Repeat : Building REST API Using Node.js and MongoDB Part16 minutes
Watch and Repeat : Building REST API Using Node.js and MongoDB Part24 minutes
Watch and Repeat : Building REST API Using Node.js and MongoDB Part35 minutes
Watch and Repeat : Building REST API Using Node.js and MongoDB Part46 minutes
Practice Brief6 minutes
Practice Debrief4 minutes
Challenge Brief5 minutes
Challenge Debrief4 minutes
Learning Consolidation1 minute