Introduction to NoSQL Databases

Introduction to NoSQL Databases

This course is part of multiple programs.

Instructors: Rav Ahuja

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58,012 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

375 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

91%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

375 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

91%

Most learners liked this course

What you'll learn

Differentiate among the four main categories of NoSQL repositories.
Describe the characteristics, features, benefits, limitations, and applications of the more popular Big Data processing tools.
Perform common tasks using MongoDB tasks including create, read, update, and delete (CRUD) operations.
Execute keyspace, table, and CRUD operations in Cassandra.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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Assessments

15 assignments

Taught in English

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There are 5 modules in this course

Get started with NoSQL Databases with this beginner-friendly introductory course! This course will provide technical, hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to handle scalability and flexibility issues modern applications raise.

You will start this course by learning the history and the basics of NoSQL databases (document, key-value, column, and graph) and discover their key characteristics and benefits. You will learn about the four categories of NoSQL databases and how they differ. You’ll also explore the differences between the ACID and BASE consistency models, the pros and cons of distributed systems, and when to use RDBMS and NoSQL. You will also learn about vector databases, an emerging class of databases popular in AI. Next, you will explore the architecture and features of several implementations of NoSQL databases, namely MongoDB, Cassandra, and IBM Cloudant. You will learn about the common tasks that they each perform and their key and defining characteristics. You will then get hands-on experience using those NoSQL databases to perform standard database management tasks, such as creating and replicating databases, loading and querying data, modifying database permissions, indexing and aggregating data, and sharding (or partitioning) data. At the end of this course, you will complete a final project where you will apply all your knowledge of the course content to a specific scenario and work with several NoSQL databases. This course suits anyone wanting to expand their Data Management and Information Technology skill set.

NoSQL means Not only SQL. The term refers to a class of databases that are non-relational in architecture. NoSQL databases have their roots in the open-source community and have become more popular due to the demands of Big Data. In this module, you will learn about the characteristics of NoSQL and the four main categories of NoSQL databases: document, key-value, column, and graph. You will explore the differences between the ACID and BASE consistency models, the advantages and challenges of distributed systems, and the CAP theorem and its characteristics. You will also learn how to decide when to use RDBMS and when to use NoSQL.

What's included

11 videos2 readings4 assignments9 plugins

11 videos Total 54 minutes

Course Introduction 3 minutes
Overview of NoSQL 6 minutes
Characteristics of NoSQL Databases 6 minutes
Key-Value NoSQL Databases 4 minutes
Document-Based NoSQL Databases 4 minutes
Column-Based NoSQL Databases 6 minutes
Graph NoSQL Databases 3 minutes
ACID versus BASE Operations 6 minutes
Distributed Databases 6 minutes
CAP Theorem 5 minutes
Challenges in Migrating from RDBMS to NoSQL Databases 5 minutes

2 readings Total 4 minutes

Summary and Highlights 2 minutes
Summary and Highlights 2 minutes

4 assignments Total 45 minutes

Graded Quiz: Basics of NoSQL 15 minutes
Graded Quiz: Working with Distributed Data 12 minutes
Practice Quiz: Basics of NoSQL 10 minutes
Practice Quiz: Working with Distributed Data 8 minutes

9 plugins Total 57 minutes

Course Overview 5 minutes
Helpful Tips for Course Completion 5 minutes
Reading: NoSQL Database Types and Use Cases 5 minutes
Reading: NoSQL Database Deployment Options 3 minutes
Glossary: Basics of NoSQL 4 minutes
Reading: MongoDB Design Patterns 15 minutes
Reading: Data Model Example in Relational vs Document 10 minutes
Reading: Vector Databases 6 minutes
Glossary: Working with Distributed Data 4 minutes

MongoDB is a document-oriented NoSQL database. MongoDB databases are easy to access by indexing. These databases support various data types, including dates and numbers. MongoDB is the most popular NoSQL database today, empowering users to query, manipulate, and find interesting insights from their collected data. It can also be used for various purposes because of the flexibility of storing structured or unstructured data. In this module, you will learn about the characteristics of MongoDB and expand your hands-on working knowledge of MongoDB performing various common tasks, including create, read, update, and delete (CRUD) operations, limit and sort records, indexing, and aggregation. You will explore replication and sharding, which are capabilities that support the scalability and availability seen with MongoDB.

What's included

8 videos2 readings4 assignments5 app items4 plugins

8 videos Total 39 minutes

Overview of MongoDB 5 minutes
Advantages of MongoDB 5 minutes
Use Cases for MongoDB 5 minutes
CRUD Operations 6 minutes
Indexes 4 minutes
Aggregation Framework 5 minutes
Replication and Sharding 5 minutes
Accessing MongoDB from Python 5 minutes

2 readings Total 4 minutes

Summary and Highlights 2 minutes
Summary and Highlights 2 minutes

4 assignments Total 50 minutes

Graded Quiz: Basics of MongoDB 15 minutes
Graded Quiz: Getting Started with MongoDB 15 minutes
Practice Quiz: Basics of MongoDB 10 minutes
Practice Quiz: Getting Started with MongoDB 10 minutes

5 app items Total 165 minutes

Lab: Getting Started with MongoDB 30 minutes
Lab: MongoDB CRUD 30 minutes
Lab: MongoDB Indexing 30 minutes
Lab: MongoDB Aggregation 45 minutes
Lab: Accessing MongoDB using Python 30 minutes

4 plugins Total 19 minutes

Glossary: Basics of MongoDB 3 minutes
Reading: Best Practices of MongoDB 10 minutes
Glossary: Getting Started with MongoDB 3 minutes
MongoDB Cheat Sheet 3 minutes

Apache Cassandra is an open source database that is best used by "always available" applications. These applications require a database that is always available (highly available) and that scales fast in high-traffic situations without compromising performance. Apache Cassandra is best for online services like Netflix, Uber, and Spotify. In this module, you will learn about the characteristics of Apache Cassandra. You will also expand your hands-on knowledge of how to perform common Cassandra tasks, including using the CQL shell, keyspace operations, table operations, and CRUD operations.

What's included

10 videos2 readings4 assignments4 app items4 plugins

10 videos Total 73 minutes

Apache Cassandra Overview 7 minutes
Key Features of Apache Cassandra 8 minutes
Apache Cassandra Data Model: Part 1 6 minutes
Apache Cassandra Data Model: Part 2 6 minutes
Introduction to Cassandra Query Language Shell (cqlsh) 9 minutes
CQL Data Types 7 minutes
Apache Cassandra Keyspace Operations 7 minutes
Table Operations 7 minutes
CRUD Operations - Part 1 8 minutes
CRUD Operations - Part 2 8 minutes

2 readings Total 4 minutes

Summary and Highlights 2 minutes
Summary and Highlights 2 minutes

4 assignments Total 40 minutes

Graded Quiz: Cassandra Basics 15 minutes
Graded Quiz: Working with Cassandra 15 minutes
Practice Quiz: Cassandra Basics 6 minutes
Practice Quiz: Working with Cassandra 4 minutes

4 app items Total 60 minutes

Lab: Using the CQL Shell (cqlsh) 20 minutes
Lab: Keyspace Operations 15 minutes
Lab: Cassandra Table Operations 10 minutes
Lab: Cassandra CRUD Operations 15 minutes

4 plugins Total 25 minutes

Reading: Architecture of Cassandra 9 minutes
Glossary: Cassandra Basics 4 minutes
Reading: Cassandra Data Modeling and Querying Best Practices 10 minutes
Glossary: Working with Cassandra 2 minutes

This module contains the final project for this course. You will consolidate the skills you learned throughout this course by applying them to a specific scenario. To complete the project successfully, you must demonstrate that you have the skills to perform the tasks outlined.

What's included

2 readings1 assignment1 peer review3 app items3 plugins

2 readings Total 3 minutes

Reading: Congrats & Next Steps 2 minutes
Thanks from the Course Team 1 minute

1 assignment Total 45 minutes

Final Quiz 45 minutes

1 peer review Total 30 minutes

Option 2: Peer Graded - Final Project Submission and Evaluation 30 minutes

3 app items Total 100 minutes

Option 1: AI Graded - Final Project: Submission and Evaluation 25 minutes
Lab: Setup and Practice Assignment 30 minutes
Final Assignment: Data Engineering for a Consulting Firm 45 minutes

3 plugins Total 24 minutes

Final Project Overview 5 minutes
Reading: Final Project Submission Guidelines and Deliverable 5 minutes
Glossary: Introduction to NoSQL 14 minutes

Database-as-a-service (DBaaS) is a popular solution for hybrid multi-cloud applications. IBM Cloudant is a fully managed DBaaS built on open source Apache CouchDB. Cloudant aims to be the data layer for all your web and mobile applications. In this module, you will find out how simple developing modern web applications is with Cloudant's rich features and JSON document store.You will explore the architecture of Cloudant as a NoSQL database. You will gain hands-on experience with Cloudant capabilities and key technologies. You will also learn how to use the Cloudant dashboard to create and manage your database.