Applications of Software Architecture for Big Data

University of Colorado Boulder via Coursera

Coursera based on 17 ratings

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Overview

The “Applications of Software Architecture for Big Data” course focuses on the design and implementation of scalable, efficient software architectures tailored for big data systems. Intended for software engineers, architects, and data professionals, this course covers architectural principles, patterns, and best practices crucial for managing vast and complex datasets. Participants will explore how to architect systems that support the ingestion, storage, processing, and analysis of big data in distributed environments. The course covers various architectural styles including lambda and kappa...

Syllabus

Project Overview

Welcome to Applications of Software Architecture for Big Data. This is a project-based course where you will apply the knowledge and skills gained from the entire Software Architecture for Big Data specialization. In this first week, you will learn about the expectations for the project as well as how to establish the features you need to get started with your own.

MVP & Development Environment

This week you will learn about the concept of a Minimum Viable Product (MVP) and how to incrementally add features to the MVP. Additionally, we will show you how to get going with a development environment and set up appropriate tests.

Affixing Features

This week builds upon your previously created MVP. Now, you will learn how to create a database, populate the database as well as analyze the data in the database. The week ends with further elaboration on testing.

Scaling your MVP & Wrapping Up

This week you will add more features to your project, including collaborative messaging. You'll end this week by building a simple health check for production monitoring and discuss acceptance testing.