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The low cost of getting started with cloud services can easily become a significant expense in the future. This is a challenge for teams developing data pipelines, particularly when rapid changes in technology and workload require a constant redesign cycle. How can you offer scalable and highly available products while keeping costs under control?
With this practical guide, author Sev Leonard offers a holistic approach to designing scalable data pipelines in the cloud. Mid-level data engineers, software developers, and architects will learn how to navigate the trade-offs between cost and performance and how to choose and configure compute and storage. You'll also learn best practices for code development, testing, and monitoring.
By focusing on the entire design process, you will be able to deliver high-quality, cost-effective products. This book helps you:
Reduce cloud spend with lower-cost cloud service offerings and smart design strategies. Minimize waste without sacrificing performance by right-sizing compute resources. Drive process evolution, avoid performance issues, and debug quickly with effective monitoring. Set up development and test environments that minimize dependencies on cloud services. Create data. pipeline code bases that are testable and extensible, encouraging rapid development and evolution. Improve data quality and channel operation through validation and testing.
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