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Ultimate AWS Data Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Im
Paperback
Series: AWS Cloud Data Engineer - Professional Path, Book 1
ISBN13: 9789348107947
Publisher: Orange Education Pvt Ltd
Published: Jan 23 2025
Pages: 302
Weight: 1.15
Height: 0.63 Width: 7.50 Depth: 9.25
Language: English
Book Description
- 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
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