Build Data Systems That Scale-From ETL to Real-Time Streaming The modern world runs on data. But collecting it is only the beginning. Data Engineering in Practice is your hands-on guide to designing and building reliable, scalable data pipelines-from batch ETL to real-time stream processing. This book is perfect for aspiring data engineers, software developers, and analytics professionals who want to go beyond theory and start building production-grade data infrastructure. You'll learn how to choose the right tools, ...
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Build Data Systems That Scale-From ETL to Real-Time Streaming The modern world runs on data. But collecting it is only the beginning. Data Engineering in Practice is your hands-on guide to designing and building reliable, scalable data pipelines-from batch ETL to real-time stream processing. This book is perfect for aspiring data engineers, software developers, and analytics professionals who want to go beyond theory and start building production-grade data infrastructure. You'll learn how to choose the right tools, architect efficient pipelines, and ensure your data flows cleanly from source to storage to insight-all with performance and reliability in mind. Inside You'll Learn: The role of the data engineer in modern analytics and AI stacks How to build robust ETL and ELT pipelines Real-time stream processing with tools like Apache Kafka and Spark Streaming Orchestrating workflows using Apache Airflow Working with structured and unstructured data at scale Data lake vs. data warehouse: when to use what Scaling pipelines with cloud-native tools (AWS, GCP, Azure) Ensuring data quality, observability, and monitoring Best practices for automation, versioning, and reproducibility Whether you're building your first pipeline or scaling a streaming platform to millions of events per minute, this book will help you do it right-from Day 1. Power your data. Architect the flow. Engineer for scale.
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Add this copy of Data Engineering in Practice to cart. £16.45, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
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Fine. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Data Engineering in Practice: Pipelines, ETL, and to cart. £16.73, new condition, Sold by GreatBookPricesUK5 rated 4.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2025 by Independently Published.
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New. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Fine. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Data Engineering in Practice: Pipelines, ETL, and to cart. £24.75, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
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New. Trade paperback (US). Glued binding. 246 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.