Introduction - Data Analytics Lens

Introduction

Publication date: October 29, 2021 (Document history)

This document describes the AWS Well-Architected Data Analytics Lens, a collection of customer-proven best practices for designing well-architected analytics workloads. The Data Analytics Lens contains insights that AWS has gathered from real-world case studies, and helps you learn the key design elements of well-architected analytics workloads along with recommendations for improvement. The document is intended for IT architects, developers, and team members who build and operate analytics systems.

How to use the lens

The AWS Well-Architected Framework helps you understand the pros and cons of decisions you make while building systems on AWS.

By using the framework, you learn architectural best practices for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It provides a way for you to consistently measure your architectures against best practices and identify areas for improvement. We believe that having well-architected systems greatly increases the likelihood of business success.

In this “Lens” we focus on how to design, deploy, and architect your analytics application workloads in the AWS Cloud. For brevity, we have only covered details from the Well-Architected Framework that are specific to analytics workloads. You should still consider best practices and questions that have not been included in this document when designing your architecture. We recommend that you read the AWS Well-Architected Framework.

This document is intended for those in technology roles, such as chief technology officers (CTOs), architects, developers, and operations team members. After reading this document, you will understand AWS best practices and strategies to use when designing architectures for analytics applications and environment.