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 on AWS

AWS recognizes data governance as a combination of people, processes, and tools that all work in tandem to ensure that a modern data platform continuously maintains high-quality data securely. Data governance mechanisms are applied throughout the life cycle of the data – right from ingestion until consumption.

The following figure demonstrates the approach of having a governed data platform using a combination of people, processes, and technology:

Figure 14.3 – Data governance operating model on AWS

Figure 14.3 – Data governance operating model on AWS

When the rubber meets the road and you try to put technology into every type of process you want to govern, it often makes it challenging to use just a few tools or services. This is because the governance process is broad and diverse, even in terms of technology. Every tool, service, or vendor product focuses on certain components of governance. For example, some tools/vendors focus on data quality, some focus on data...