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Modern Data Architecture on AWS

You're reading from  Modern Data Architecture on AWS

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781801813396
Pages 420 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Behram Irani Behram Irani
Profile icon Behram Irani
LinkedIn
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.
See other products by Behram Irani

Table of Contents (24) Chapters

Preface Part 1: Foundational Data Lake
Prologue: The Data and Analytics Journey So Far Chapter 1: Modern Data Architecture on AWS Chapter 2: Scalable Data Lakes Part 2: Purpose-Built Services And Unified Data Access
Chapter 3: Batch Data Ingestion Chapter 4: Streaming Data Ingestion Chapter 5: Data Processing Chapter 6: Interactive Analytics Chapter 7: Data Warehousing Chapter 8: Data Sharing Chapter 9: Data Federation Chapter 10: Predictive Analytics Chapter 11: Generative AI Chapter 12: Operational Analytics Chapter 13: Business Intelligence Part 3: Govern, Scale, Optimize And Operationalize
Chapter 14: Data Governance Chapter 15: Data Mesh Chapter 16: Performant and Cost-Effective Data Platform Chapter 17: Automate, Operationalize, and Monetize Index Other Books You May Enjoy

Amazon QuickSight use-cases

Let’s dive straight to how Amazon QuickSight can help solve many of the business intelligence and reporting use-cases that organizations may have.

Interactive dashboards

Use-case for interactive dashboards using Amazon QuickSight

Many LOBs of GreatFin have setup a combination of data lake on Amazon S3 along with data warehouse on Amazon Redshift. The data in the data lake is standardized in the data lake and multiple personas are able to query different datasets using Amazon Athena. Similarly, the data that’s being stored in Amazon Redshift is all ready for consumption in the final base tables. Business also uses other data stores such as Amazon OpenSearch for operational analytics, Amazon Timestream for storing time series data.

One of the key consumption patterns for this data is for business leaders to get an aggregated view of how the company is doing on a daily, weekly and monthly basis. The business also wants the ability...

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Authors (1)

Profile icon Behram Irani
LinkedIn
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.
Read more
See other products by Behram Irani

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