This is the repository for Ultimate AWS Data Engineering, published by Orange AVA™
In today’s data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges.
Throughout the chapters, you’ll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security.
Whether you aim to streamline your organization’s data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise.
● Design scalable data pipelines using core AWS data engineering tools.
● Master data replication, partitioning, and sharding techniques on AWS.
● Build fault-tolerant architectures with AWS scalability and reliability.
● Optimize data storage and processing with Redshift, S3, and Glue.
● Implement secure, cost-effective workflows for real-world data challenges.
● Integrate machine learning into pipelines with SageMaker and AWS AI tools.