
Data Analytics in the AWS Cloud
Building a Data Platform for BI and Predictive Analytics on AWS
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Data Analytics in the AWS Cloud
Building a Data Platform for BI and Predictive Analytics on AWS
About this book
A comprehensive and accessible roadmap to performing data analytics in the AWS cloud
In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you'll explore every relevant aspect of data analytics—from data engineering to analysis, business intelligence, DevOps, and MLOps—as you discover how to integrate machine learning predictions with analytics engines and visualization tools.
You'll also find:
- Real-world use cases of AWS architectures that demystify the applications of data analytics
- Accessible introductions to data acquisition, importation, storage, visualization, and reporting
- Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance
A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Introduction
- Chapter 1: AWS Data Lakes and Analytics Technology Overview
- Chapter 2: The Path to Analytics: Setting Up a Data and Analytics Team
- Chapter 3: Working on AWS
- Chapter 4: Serverless Computing and Data Engineering
- Chapter 5: Data Ingestion
- Chapter 6: Processing Data
- Chapter 7: Cataloging, Governance, and Search
- Chapter 8: Data Consumption: BI, Visualization, and Reporting
- Chapter 9: Machine Learning at Scale
- Appendix: Example Data Architectures in AWS
- Index
- Copyright
- About the Author
- About the Technical Editor
- Acknowledgments
- End User License Agreement