Book Image

Modern Data Architecture on AWS

By : Behram Irani
5 (1)
Book Image

Modern Data Architecture on AWS

5 (1)
By: Behram Irani

Overview of this book

Many IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.
Table of Contents (24 chapters)
1
Part 1: Foundational Data Lake
5
Part 2: Purpose-Built Services And Unified Data Access
17
Part 3: Govern, Scale, Optimize And Operationalize

Summary

In this chapter, we looked at what data lakes are, why they are important, and what some of the challenges of on-premises data lakes are. We had enough context to pivot toward what a modern data architecture looks like and why it’s important to build data platforms using this architecture pattern. And, as the climax was building up, AWS made a grand entry. We looked at the pillars of a modern data architecture on AWS. The stage is now set to get into details of each of these pillars. The flow of this book going forward is in line with these pillars.

With this chapter, our rollercoaster has just reached the top at cruising speed. Now, in the subsequent chapters, hang tight for all the thrills of the actual use cases and how the whole modern data platform slowly starts to take shape.