Ultimate AWS Data Engineering
Rathish Mohan
- 06 februari 2025
- 9789348107299
Samenvatting:
Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success.
Key Features
● Gain an in-depth understanding of essential AWS services such as S3, DynamoDB, Redshift, and Glue to build scalable data solutions.
● Learn to design efficient, fault-tolerant data pipelines while adhering to best practices in cost management and security.
Book Description
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.
What you will learn
● 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.
Table of Contents
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Unveiling the Secrets of Data Engineering
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Architecting for Scalability: Data Replication Techniques
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Partitioning and Sharding: Optimizing Data Management
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Ensuring Consistency: Consensus Mechanisms and Models
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Balancing the Load: Achieving Performance and Efficiency
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Building Fault-Tolerant Architectures
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Exploring the Realm of AWS Data Storage Services
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Orchestrating Data Flow
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Advanced Data Pipelines and Transformation
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Data Warehousing Demystified
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Visualizing the Unseen
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AWS Machine Learning: Classic AI to Generative AI
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Advanced Data Engineering with AWS.