- Page d'accueil /
- Livres /
- All Books /
- Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback
CHF 57
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from États-Unis
QTY:
Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.
Cut through marketing hype when choosing data technologies, architecture, and processes
Livraison
rapide
Retour
gratuit*
Emballage sécurisé
Produits 100 % originaux
Conformité PCI DSS
Certifié ISO 27001
Ce qui se démarque
Détails du produit
- Comprehensive view of data engineering practice for software engineers, data scientists, and analysts
- Learn to plan and build systems using the data engineering lifecycle
- Evaluate best technologies for data systems and downstream data consumers
- Apply data generation, ingestion, orchestration, transformation, storage, and governance concepts
- Get a concise overview of data engineering landscape and best practices
- Incorporate data governance and security throughout the data engineering lifecycle
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2022 |
| Pages | 447 |
| Reading level | Professional & Vocational |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.91 x 9.19 in (17.8 x 2.3 x 23.3 cm) |
| Assembled product weight | 1.57 lb (710 grams) |
| Bisac subject heading | Computers |
À qui est-ce destiné ?
-
Aspiring Data Engineers
Beginners looking to understand data systems and engineering principles will find this book invaluable for foundational knowledge.
-
Data Engineers in Transition
Professionals migrating to data engineering from other tech fields will benefit from structured insights and practical approaches.
-
Technical Project Managers
Managers who oversee data-related projects will gain a comprehensive understanding of data systems to improve project outcomes.
-
Complete Beginners
Individuals without any technical background may struggle with concepts presented, requiring more introductory resources first.
-
Advanced Data Scientists
Experienced professionals might find the content too basic and lacking in advanced topics or cutting-edge technologies.
-
Casual Readers
Those seeking a light read or entertainment will likely find the technical nature of the book unengaging.
DESCRIPTION DU PRODUIT
Fundamentals of Data Engineering: Plan and Build Robust Data Systems, Paperback
About This Item
Take your data engineering skills to the next level with the Fundamentals of Data Engineering: Plan and Build Robust Data Systems Paperback. Whether you're a beginner looking to gain a solid foundation in data engineering or an experienced professional hoping to enhance your skills, this book has everything you need to succeed. From understanding the basic concepts of data engineering to implementing best practices, this comprehensive guide covers it all. Learn about the tools and techniques used in data engineering, including data management, data integration, and data modeling.
Discover how to build robust data systems that can handle large volumes of data and scale with your growing business. The Fundamentals of Data Engineering also delves into specific topics that are crucial in today's data-driven world. Explore data engineering for e-commerce, including data warehousing, data modeling for e-commerce, and real-time data engineering. Discover how to leverage machine learning for data engineering and how to optimize data engineering pipelines for maximum performance. Not only does this book cover the technical aspects of data engineering, but it also explores the strategic side.
Learn how data engineering can provide a competitive advantage for your business and how it can be used for decision making and analytics. Understand the importance of data governance in e-commerce and how to ensure data quality and integrity. Written by experts in the field, the Fundamentals of Data Engineering: Plan and Build Robust Data Systems Paperback is a must-have resource for anyone looking to excel in the world of data engineering. Dive into the world of data engineering and take your skills to new heights.
Order your copy today and start building robust data systems that will drive your business to success.
Questions et réponses des clients
-
question:
What does the book cover?
répondre: The book covers the entire data engineering lifecycle and provides an overview of the data engineering landscape. -
question:
How can this book help me?
répondre: This book will help you plan, build, and evaluate systems to meet your organization's data engineering needs. -
question:
Is data governance covered in the book?
répondre: Yes, the book covers data governance and security throughout the data engineering lifecycle.
Joe Reis All Books Editorial Review
Avis et évaluations clients
-
5 étoile
100%
-
4 étoile
0%
-
3 étoile
0%
-
2 étoile
0%
-
1 étoile
0%
Donnez votre avis sur ce produit
Partagez votre avis avec d'autres clients
Avantages
- Comprehensive coverage of data systems
- Clear and engaging writing style
- Useful real-world examples
- Practical tips and techniques
- Great for beginners and pros
Les inconvénients
- Some topics could use more depth.
Historique des prix du produit
Informations importantes
- Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
- Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.
CHF 57
Commandez maintenant et recevez votre commande aux alentours du Mercredi, Juin 24
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.
Caractéristiques et avantages
- Learn how to plan and build systems for your organization's needs
- Evaluate the best technologies available through the data engineering lifecycle
- Apply concepts of data generation, ingestion, orchestration, transformation, storage, and governance
- Get a concise overview of the entire data engineering landscape
- Design and build a robust architecture using the data engineering lifecycle
- Incorporate data governance and security across the data engineering lifecycle