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

Data Governance

A compass provides a clear sense of direction, guiding travelers through unfamiliar terrain. Similarly, data governance establishes a clear direction for an organization’s data management efforts. It sets goals, defines strategies, and outlines the path toward effective data utilization, ensuring that data initiatives align with the organization’s overall objectives. However, the term data governance can also get nebulous and cause friction in many organizations. Sometimes, data leaders throw the kitchen sink at it without really breaking down the individual components of data governance and understanding its relevance to the organization. A clear data strategy needs to be in place and the strategy needs to align with the business goals.

As we will uncover in this chapter, data governance is a very broad topic; trying to implement every component of governance at once, without clearly mapping value to the business, will lead to a data platform that...