Modern data engineering python par maxwell mike (5 résultats)
Langue : anglais
Edité par Amazon Digital Services LLC - Kdp, 2025
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
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EUR 31,87
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Amazon Digital Services LLC - Kdp, 2025
- Couverture souple
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 28,90
EUR 4,84 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Independently published, 2025
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Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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EUR 28,45
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Etat : New. Print on Demand.
Langue : anglais
Edité par Independently Published, 2025
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 32,14
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Paperback. Etat : new. Paperback. Unlock the Power of Modern Data Engineering with Python. Transform raw data into actionable insights and scalable systems with practical, hands-on guidance.Dive into the world of modern data engineering as this book takes you step by step through building reliable ETL pipelines, automating workf…lows, and handling big data efficiently using Python. From foundational concepts to advanced techniques, you'll learn how to clean, transform, and validate data, orchestrate workflows, implement fault-tolerant pipelines, and scale processing for enterprise-grade systems. Real-world examples, mini-projects, and detailed Python implementations make complex concepts easy to understand and apply.Whether you're a developer, data analyst, or aspiring data engineer, this book equips you with the skills to build end-to-end data systems. Learn how to optimize performance, maintain data quality, and implement observability to ensure your data pipelines are trustworthy and production-ready. By combining theoretical principles with practical, hands-on exercises, you'll gain confidence in designing, deploying, and maintaining robust data engineering solutions.What readers will gain from this book: Mastery of ETL and ELT pipeline design for modern data systems.Practical Python skills for automating data ingestion, transformation, and loading.Techniques to ensure pipeline reliability, fault tolerance, and observability.Strategies for handling big data and scalable distributed processing.Best practices for testing, monitoring, and productionizing data pipelines.Start building modern, reliable, and scalable data engineering systems today, take control of your data and transform it into business value with Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue : anglais
Edité par Independently Published, 2025
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- impression à la demande
Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 32,95
EUR 43,06 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. Unlock the Power of Modern Data Engineering with Python. Transform raw data into actionable insights and scalable systems with practical, hands-on guidance.Dive into the world of modern data engineering as this book takes you step by step through building reliable ETL pipelines, automating workf…lows, and handling big data efficiently using Python. From foundational concepts to advanced techniques, you'll learn how to clean, transform, and validate data, orchestrate workflows, implement fault-tolerant pipelines, and scale processing for enterprise-grade systems. Real-world examples, mini-projects, and detailed Python implementations make complex concepts easy to understand and apply.Whether you're a developer, data analyst, or aspiring data engineer, this book equips you with the skills to build end-to-end data systems. Learn how to optimize performance, maintain data quality, and implement observability to ensure your data pipelines are trustworthy and production-ready. By combining theoretical principles with practical, hands-on exercises, you'll gain confidence in designing, deploying, and maintaining robust data engineering solutions.What readers will gain from this book: Mastery of ETL and ELT pipeline design for modern data systems.Practical Python skills for automating data ingestion, transformation, and loading.Techniques to ensure pipeline reliability, fault tolerance, and observability.Strategies for handling big data and scalable distributed processing.Best practices for testing, monitoring, and productionizing data pipelines.Start building modern, reliable, and scalable data engineering systems today, take control of your data and transform it into business value with Python. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
