SKU/Artículo: AMZ-B0FVVTKLPW
Practical Data Engineering with Python & SQL: Build Reliable Data Pipelines, Automate ETL, and Deliver Analytics at Scale
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.19 kg
1.19 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Master Modern Data Engineering with Real-World Projects, Cloud Workflows, and Future-Proof SkillsData engineering is the backbone of analytics, machine learning, and every data-driven decision in today’s world. Yet many guides only scratch the surface—leaving you unprepared for the real challenges of building scalable, secure, and production-ready pipelines. This book takes a different approach: it walks you step by step through the complete data engineering lifecycle, combining deep technical explanations with hands-on projects you can adapt to your own work.Inside, you’ll learn how to:Design and build resilient pipelines that can ingest, transform, and deliver data from multiple sources at scale.Work with modern data stacks—including Airflow, dbt, Kafka, Spark, and cloud-native tools across AWS, GCP, and Azure.Implement security, governance, and compliance so your pipelines meet real-world enterprise requirements.Adopt CI/CD workflows for data projects, ensuring reproducibility, testing, and smooth deployments.Experiment with cutting-edge trends like the Lakehouse architecture, vector databases for AI/LLM workflows, streaming-first analytics, and Data Mesh principles.Build portfolio-worthy projects including:An end-to-end e-commerce analytics pipelineA real-time fraud detection streaming system with KafkaA Customer 360 model for marketing analyticsA production-ready cloud pipeline with monitoring and loggingEach chapter is carefully structured to balance concepts with implementation. You’ll find clear explanations, fully documented code examples, and step-by-step walkthroughs—so you not only understand the “why” but can also execute the “how” with confidence.Whether you’re:An aspiring data engineer looking to break into the field,A data analyst or scientist who wants to strengthen engineering skills, orAn experienced professional keeping up with the future of data infrastructure—this book will serve as both a practical manual and a career accelerator.By the time you finish, you won’t just know what data engineering is—you’ll have the hands-on experience, projects, and workflows to prove you can do it at a professional level. ✅ Practical. Modern. Career-focused. This is the data engineering guide you’ll keep on your desk, reference in production, and build your next big project with.
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AR$47.335
44% OFF
AR$26.299
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