Ultimate AWS Data Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched I
Language: English
Published by Orange Education Pvt Ltd, 2025
Series: Book 1 of 2 - AWS Cloud Data Engineer — Professional Path
- Softcover
- New
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
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- Title
- Ultimate AWS Data Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched I
- Author
- Agrawal, Shekhar
- Publisher
- Orange Education Pvt Ltd
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9348107941
- ISBN 13
- 9789348107947
- Series
- Book 1 of 2: AWS Cloud Data Engineer — Professional Path
Accelerate your cloud career with the ultimate AWS data engineering guide. This book is crafted to help both beginners and professionals design scalable data pipelines on AWS and implement robust cloud data solutions using proven strategies and practical workflows.
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.
What You’ll Gain from This Guide:
- Efficient strategies to optimize big data workflows in AWS cloud, ensuring cost-effective and fault-tolerant results.
- Step-by-step instructions for practical AWS data engineering for beginners, making complex concepts easy to grasp.
- Real-world examples of AWS ETL pipelines and data transformation workflows to handle large-scale operations.
- Detailed methods on integrating AWS Redshift and DynamoDB for unified, scalable architectures.
- Blueprints for end-to-end data architecture on AWS, from planning to deployment.
- Simplified guides to cloud data engineering AWS and best practices for storage, partitioning, and sharding.
- Practical solutions and troubleshooting for building resilient and cost-effective AWS pipelines across diverse use cases.
- Gain hands-on insights for scalable AWS data pipelines and real value for cloud data solutions.
- Learn how to optimize, replicate, and partition data using industry-standard AWS architecture.
- Unlock effective approaches to AWS data replication, fault-tolerant pipelines, and more—all with clear, actionable direction.
- All guidance aligns with the latest, authentic cloud technology trends and avoids any misuse of trademarked or copyrighted content.
Unlock your potential—start building scalable, resilient, and high-impact AWS data solutions today!
Table of Contents1. Unveiling the Secrets of Data Engineering
2. Architecting for Scalability: Data Replication Techniques
3. Partitioning and Sharding: Optimizing Data Management
4. Ensuring Consistency: Consensus Mechanisms and Models
5. Balancing the Load: Achieving Performance and Efficiency
6. Building Fault-Tolerant Architectures
7. Exploring the Realm of AWS Data Storage Services
8. Orchestrating Data Flow
9. Advanced Data Pipelines and Transformation
10. Data Warehousing Demystified
11. Visualizing the Unseen
12. AWS Machine Learning: Classic AI to Generative AI
13. Advanced Data Engineering with AWS
Index
"Synopsis" may belong to another edition of this title.
GreatBookPrices
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