Data Engineering with AWS Cookbook
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Data Engineering with AWS Cookbook

A recipe-based approach to help you tackle data engineering problems with AWS services

About the Book

Performing data engineering with Amazon Web Services (AWS) combines AWS's scalable infrastructure with robust data processing tools, enabling efficient data pipelines and analytics workflows. This comprehensive guide to AWS data engineering will teach you all you need to know about data lake management, pipeline orchestration, and serving layer construction.

Through clear explanations and hands-on exercises, you’ll master essential AWS services such as Glue, EMR, Redshift, QuickSight, and Athena. Additionally, you’ll explore various data platform topics such as data governance, data quality, DevOps, CI/CD, planning and performing data migration, and creating Infrastructure as Code. As you progress, you will gain insights into how to enrich your platform and use various AWS cloud services such as AWS EventBridge, AWS DataZone, and AWS SCT and DMS to solve data platform challenges.

Each recipe in this book is tailored to a daily challenge that a data engineer team faces while building a cloud platform. By the end of this book, you will be well-versed in AWS data engineering and have gained proficiency in key AWS services and data processing techniques. You will develop the necessary skills to tackle large-scale data challenges with confidence.

About the Author

Packt Publishing Ltd
Packt Publishing Ltd

Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com

Table of Contents

  1. Managing Data Lake Storage
  2. Sharing Your Data Across Environments and Accounts
  3. Ingesting and Transforming Your Data with AWS Glue
  4. A Deep Dive into AWS Orchestration Frameworks
  5. Running Big Data Workloads with Amazon EMR
  6. Governing Your Platform
  7. Data Quality Management
  8. DevOps – Defining IaC and Building CI/CD Pipelines
  9. Monitoring Data Lake Cloud Infrastructure
  10. Building a Serving Layer with AWS Analytics Services
  11. Migrating to AWS – Steps, Strategies, and Best Practices for Modernizing Your Analytics and Big Data Workloads
  12. Harnessing the Power of AWS for Seamless Data Warehouse Migration
  13. Strategizing Hadoop Migrations – Cost, Data, and Workflow Modernization with AWS

About the Publisher

This book is published on Leanpub by Packt Publishing Ltd

Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com

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