Data Engineering with AWS Cookbook
eBook Details:
- Paperback: 528 pages
- Publisher: WOW! eBook (November 29, 2024)
- Language: English
- ISBN-10: 1805127284
- ISBN-13: 978-1805127284
eBook Description:
Data Engineering with AWS Cookbook: A recipe-based approach to help you tackle data engineering problems with AWS services. Master AWS data engineering services and techniques for orchestrating pipelines, building layers, and managing migrations.
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 Data Engineering with AWS Cookbook 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.
- Define your centralized data lake solution, and secure and operate it at scale
- Identify the most suitable AWS solution for your specific needs
- Build data pipelines using multiple ETL technologies
- Discover how to handle data orchestration and governance
- Explore how to build a high-performing data serving layer
- Delve into DevOps and data quality best practices
- Migrate your data from on-premises to AWS
Each recipe in this Data Engineering with AWS Cookbook 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.