What experience level is required for MichiganX: Database Architecture, Scale, and NoSQL with Elasticsearch?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete MichiganX: Database Architecture, Scale, and NoSQL with Elasticsearch?

The total duration of the course is approximately 3 weeks. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Do I get a certificate after completing MichiganX: Database Architecture, Scale, and NoSQL with Elasticsearch?

Yes, a certificate of completion is included, which you can add to your professional profile or resume to showcase your newly acquired skills.

Computer Science

MichiganX: Database Architecture, Scale, and NoSQL with Elasticsearch

Name: MichiganX: Database Architecture, Scale, and NoSQL with Elasticsearch
Price: 4897 INR
Availability: InStock

In this fourth and final course in PostgreSQL for Everybody, learners will explore database architectures, CRUD operations and how ACID requirements are implemented in PostgreSQL. Learners will compare how to scale SQL and NoSQL database services and build NoSQL applications using ElasticSearch.

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₹10,634/yr

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₹48970

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₹28,072

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Computer Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlyCertification IncludedSelf-Paced Learning

SKILLS TO
MASTER

Computer Science Basics

Fundamental principles and concepts

Practical Application

Real-world project implementation

Best Practices

Industry standard workflows and guidelines

Problem Solving

Core Concepts

Implementation

Workflow Integration

Optimization

Careers:Relevant for professionals pursuing roles within Computer Science.

Quick Facts

3 weeks

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What You’ll Learn

Understand PostgreSQL architecture; analyze and compare SQL and NoSQL.
Compare and contrast ACID and BASE style architectures and databases.
Create and utilize an Elasticsearch index in different contexts.

See side-by-side differences in what you’ll learn

Description

Within this course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and review how transactions and the ACID (Atomicity, Consistency, Isolation, Durability) requirements are implemented.

You’ll learn to use Elasticsearch NoSQL, which is a common NoSQL database and a supplement to a relational database to high-speed search and indexing. We will examine Elasticsearch as an example of a BASE-style (Basic Availability, Soft State, Eventual Consistency) database approach, as well as compare and contrast the advantages and challenges associated with ACID and BASE databases.

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