Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

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.

1143584082
Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

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.

35.99 In Stock
Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

by Behram Irani
Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

by Behram Irani

eBook

$35.99 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

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.


Product Details

ISBN-13: 9781801810128
Publisher: Packt Publishing
Publication date: 08/31/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 420
File size: 27 MB
Note: This product may take a few minutes to download.

About the Author

Behram Irani is currently a technology leader with Amazon Web Services (AWS) specializing in data, analytics and AI/ML. He has spent over 18 years in the tech industry helping organizations, from start-ups to large-scale enterprises, modernize their data platforms. In the last 6 years working at AWS, Behram has been a thought leader in the data, analytics and AI/ML space; publishing multiple papers and leading the digital transformation efforts for many organizations across the globe. Behram has completed his Bachelor of Engineering in Computer Science from the University of Pune and has an MBA degree from the University of Florida.

Table of Contents

Table of Contents
  1. Modern Data Architecture on AWS
  2. Scalable Data Lakes
  3. Batch Data Ingestion
  4. Streaming Data Ingestion
  5. Data Processing
  6. Interactive Analytics
  7. Data Warehousing
  8. Data Sharing
  9. Data Federation
  10. Predictive Analytics
  11. Generative AI
  12. Operational Analytics
  13. Business Intelligence
  14. Data Governance
  15. Data Mesh
  16. Performant and Cost-effective Data Platform
  17. Automate, Operationalize and Monetize
From the B&N Reads Blog

Customer Reviews