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Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition

Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition

Gareth Eagar

EЛЕКТРОННА КНИГА
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This book, authored by a Senior Data Architect with 25 years of experience, helps you gain expertise in the AWS ecosystem for data engineering. This revised edition updates every chapter to cover the latest AWS services and features, provides a refreshed view on data governance, and introduces a new section on building modern data platforms. You will learn how to implement a data mesh, work with open-table formats such as Apache Iceberg, and apply DataOps practices for automation and observability.

You will begin by exploring core concepts and essential AWS tools used by data engineers, along with modern data management approaches. You will then design and build data pipelines, review raw data sources, transform data, and understand how it is consumed by various stakeholders. The book also covers data governance, populating data marts and warehouses, and how a data lakehouse fits into the architecture. You will explore AWS tools for analysis, SQL queries, visualizations, and learn how AI and machine learning generate insights from data. Later chapters cover transactional data lakes, data meshes, and building a complete AWS data platform.

By the end, you will be able to confidently implement data engineering pipelines on AWS.
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  • 1. An Introduction to Data Engineering
  • 2. Data Management Architectures for Analytics
  • 3. The AWS Data Engineer's Toolkit
  • 4. Data Governance, Security, and Cataloging
  • 5. Architecting Data Engineering Pipelines
  • 6. Ingesting Batch and Streaming Data
  • 7. Transforming Data to Optimize for Analytics
  • 8. Identifying and Enabling Data Consumers
  • 9. A Deeper Dive into Data Marts and Amazon Redshift
  • 10. Orchestrating the Data Pipeline
  • 11. Ad Hoc Queries with Amazon Athena
  • 12. Visualizing Data with Amazon QuickSight
  • 13. Enabling Artificial Intelligence and Machine Learning
  • 14. Building Transactional Data Lakes
  • 15. Implementing a Data Mesh Strategy
  • 16. Building a Modern Data Platform on AWS
  • 17. Wrapping Up the First Part of Your Learning Journey
  • Назва:Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition
  • Автор:Gareth Eagar
  • Оригінальна назва:Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition
  • ISBN:9781804613139, 9781804613139
  • Дата видання:2023-10-31
  • Формат:Eлектронна книга
  • Ідентифікатор видання: e_3pud
  • Видавець: Packt Publishing