Introduction to NoSQL Databases

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Introduction to NoSQL Databases

This course is part of multiple programs.

Instructors: Rav Ahuja +3 more

59,508 already enrolled

Included with

5 modules

Gain insight into a topic and learn the fundamentals.

381 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.

381 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

Category: Database Architecture and Administration
Category: Database Development
Category: Information Management
Category: Database Theory
Category: Data Modeling
Category: Database Management
Category: Database Administration
Category: Distributed Computing
Category: Data Manipulation
Category: Databases

Tools you'll learn

Category: Apache Cassandra
Category: Cloud Applications
Category: IBM Cloud
Category: Database Software
Category: NoSQL
Category: Query Languages
Category: MongoDB
Category: Database Management Systems
Category: JSON
Category: Database Systems

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

15 assignments

Taught in English

Build your subject-matter expertise

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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 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 videosTotal 54 minutes

Course Introduction3 minutes
Overview of NoSQL6 minutes
Characteristics of NoSQL Databases6 minutes
Key-Value NoSQL Databases4 minutes
Document-Based NoSQL Databases4 minutes
Column-Based NoSQL Databases6 minutes
Graph NoSQL Databases3 minutes
ACID versus BASE Operations6 minutes
Distributed Databases6 minutes
CAP Theorem5 minutes
Challenges in Migrating from RDBMS to NoSQL Databases5 minutes

2 readingsTotal 4 minutes

Summary and Highlights2 minutes
Summary and Highlights2 minutes

4 assignmentsTotal 45 minutes

Practice Quiz: Basics of NoSQL10 minutes
Practice Quiz: Working with Distributed Data8 minutes
Graded Quiz: Basics of NoSQL15 minutes
Graded Quiz: Working with Distributed Data12 minutes

9 pluginsTotal 57 minutes

Course Overview5 minutes
Helpful Tips for Course Completion5 minutes
Reading: NoSQL Database Types and Use Cases5 minutes
Reading: NoSQL Database Deployment Options3 minutes
Glossary: Basics of NoSQL4 minutes
Reading: MongoDB Design Patterns15 minutes
Reading: Data Model Example in Relational vs Document10 minutes
Reading: Vector Databases6 minutes
Glossary: Working with Distributed Data4 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 videosTotal 39 minutes

Overview of MongoDB5 minutes
Advantages of MongoDB5 minutes
Use Cases for MongoDB5 minutes
CRUD Operations6 minutes
Indexes4 minutes
Aggregation Framework5 minutes
Replication and Sharding5 minutes
Accessing MongoDB from Python5 minutes

2 readingsTotal 4 minutes

Summary and Highlights2 minutes
Summary and Highlights2 minutes

4 assignmentsTotal 50 minutes

Practice Quiz: Basics of MongoDB10 minutes
Practice Quiz: Getting Started with MongoDB10 minutes
Graded Quiz: Basics of MongoDB15 minutes
Graded Quiz: Getting Started with MongoDB15 minutes

5 app itemsTotal 165 minutes

Lab: Getting Started with MongoDB30 minutes
Lab: MongoDB CRUD30 minutes
Lab: MongoDB Indexing30 minutes
Lab: MongoDB Aggregation45 minutes
Lab: Accessing MongoDB using Python30 minutes

4 pluginsTotal 19 minutes

Glossary: Basics of MongoDB3 minutes
Reading: Best Practices of MongoDB10 minutes
Glossary: Getting Started with MongoDB3 minutes
MongoDB Cheat Sheet3 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 videosTotal 73 minutes

Apache Cassandra Overview7 minutes
Key Features of Apache Cassandra8 minutes
Apache Cassandra Data Model: Part 16 minutes
Apache Cassandra Data Model: Part 26 minutes
Introduction to Cassandra Query Language Shell (cqlsh)9 minutes
CQL Data Types7 minutes
Apache Cassandra Keyspace Operations7 minutes
Table Operations7 minutes
CRUD Operations - Part 18 minutes
CRUD Operations - Part 28 minutes

2 readingsTotal 4 minutes

Summary and Highlights2 minutes
Summary and Highlights2 minutes

4 assignmentsTotal 40 minutes

Practice Quiz: Cassandra Basics6 minutes
Practice Quiz: Working with Cassandra4 minutes
Graded Quiz: Cassandra Basics15 minutes
Graded Quiz: Working with Cassandra15 minutes

4 app itemsTotal 60 minutes

Lab: Using the CQL Shell (cqlsh)20 minutes
Lab: Keyspace Operations15 minutes
Lab: Cassandra Table Operations10 minutes
Lab: Cassandra CRUD Operations15 minutes

4 pluginsTotal 25 minutes

Reading: Architecture of Cassandra9 minutes
Glossary: Cassandra Basics4 minutes
Reading: Cassandra Data Modeling and Querying Best Practices10 minutes
Glossary: Working with Cassandra2 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 readingsTotal 3 minutes

Reading: Congrats & Next Steps2 minutes
Thanks from the Course Team1 minute

1 assignmentTotal 45 minutes

Final Quiz45 minutes

1 peer reviewTotal 30 minutes

Option 2: Peer Graded - Final Project Submission and Evaluation30 minutes

3 app itemsTotal 100 minutes

Option 1: AI Graded - Final Project: Submission and Evaluation25 minutes
Lab: Setup and Practice Assignment30 minutes
Final Assignment: Data Engineering for a Consulting Firm45 minutes

3 pluginsTotal 24 minutes

Final Project Overview5 minutes
Reading: Final Project Submission Guidelines and Deliverable5 minutes
Glossary: Introduction to NoSQL14 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.

What's included

8 videos3 readings2 assignments3 app items6 plugins

8 videosTotal 53 minutes

Overview of Cloudant5 minutes
Cloudant Architecture and Key Technologies6 minutes
Cloudant Benefits and Solutions7 minutes
Deployment Options for Cloudant5 minutes
Dashboards in Cloudant7 minutes
Working with Databases in Cloudant7 minutes
HTTP API Basics7 minutes
Working with the HTTP API9 minutes

3 readingsTotal 6 minutes

Summary and Highlights2 minutes
How to Access Documentation and Support Resources2 minutes
Summary and Highlights2 minutes

2 assignmentsTotal 18 minutes

Practice Quiz: Cloudant Basics8 minutes
Practice Quiz: Working with Cloudant10 minutes

3 app itemsTotal 90 minutes

(Optional) Obtain IBM Cloud Feature Code and Activate Trial Account15 minutes
Lab: Querying Data using the HTTP API30 minutes
[Optional] Project: Cloudant45 minutes

6 pluginsTotal 100 minutes

Lab [Optional]: Signup for IBM Cloud account15 minutes
Lab: Create an instance of IBM Cloudant 10 minutes
Lab: Dashboards in Cloudant30 minutes
Lab: Working with Databases in Cloudant30 minutes
Reading: Query Optimization with Indexes5 minutes
Reading: Offline First with Cloudant10 minutes

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Instructors

Instructor ratings

(92 ratings)

Rav Ahuja

IBM

55 Courses5,043,978 learners

Ramesh Sannareddy

IBM

24 Courses518,842 learners

Offered by

IBM

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Showing 3 of 381

Reviewed on Aug 4, 2024

It gave me a strong foundational knowledge of NoSQL databases.

Reviewed on Nov 26, 2023

I thoroughly enjoyed learning about NOSQL Databases.

Reviewed on Jun 17, 2022

I am really happy for earning this NoSQL certificate. which is great work !

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When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.