NoSQL Database Basics

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Course Features

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Duration

5 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

3 hours per week

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Teaching Type

Self Paced

Course Description

This course will provide you with 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 effectively handle scalability and flexibility issues raised by modern applications.

You will start by learning the history and the basics of NoSQL databases and discover their key characteristics and benefits. You will learn about the four categories of NoSQL databases and how they differ from each other.

You will explore the architecture and features of several different implementations of NoSQL databases, namely MongoDB, Cassandra, and IBM Cloudant.

Throughout the course you will get practical experience using these 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.

The course ends with a hands-on project to test your understanding of some of the basics of working with several NoSQL database offerings.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Computer and IT literacy

Curiosity about how data is managed.

What You Will Learn

Define the term NoSQL and the technology it references.

Explain the characteristics of NoSQL databases.

Describe the major categories of NoSQL datastores (document, key-value, graph, etc.) and their architectural differences.

List the most commonly used NoSQL datastores, their primary use cases and benefits (MongoDB, Cassandra, Cloudant, Couch DB, etc.).

Understand the factors affecting return on investment for using locally hosted databases, versus hosted database versus DBaaS.

Describe the architecture, features, and key benefits of MongoDB as a NoSQL database.

Demonstrate hands-on working knowledge of MongoDB and perform various common tasks (including CRUD operations, limit and sort records, indexing, aggregation, replication, sharding)

Describe the architecture, features, and key benefits of Cassandra as a NoSQL database.

Demonstrate hands-on working knowledge of Cassandra and perform various common tasks (including using the CQL shell, keyspace operations, table operations, and CRUD operations)

Describe the architecture, features, and key benefits of Cloudant as a NoSQL database.

Demonstrate hands-on working knowledge of Cloudant and perform various common tasks (including creating the database, add documents, query data, utilize the HTTP API).

Course Instructors

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Rav Ahuja

AI and Data Science Program Director

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to...
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Steve Ryan

Instructor & Content Developer

Steve Ryan is based in the UK and works for Skill-Up Technologies as a Senior Instructional Designer and Content Developer. His background is in IT, and had been a Microsoft Certified Trainer since 1...
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Ramesh Sannareddy

Content Developer

Ramesh Sannareddy holds a Bachelors Degree in Information Systems (Birla Institute of Technology, Pilani). He has two and a half decades of experience in Information Technology Infrastructure Managem...
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