Escucha y lee

Descubre un mundo infinito de historias

  • Lee y escucha todo lo que quieras
  • Más de 1 millón de títulos
  • Títulos exclusivos + Storytel Originals
  • 7 días de prueba gratis, luego $7.99 /mes
  • Cancela cuando quieras
Suscríbete ahora
Cover for Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

3 calificaciones

4.3

Duración
17 h 31 m
Idioma
Inglés
Formato
Categoría

No ficción

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.

This book will help you: get a concise overview of the entire data engineering landscape; assess data engineering problems using an end-to-end framework of best practices; cut through marketing hype when choosing data technologies, architecture, and processes; use the data engineering lifecycle to design and build a robust architecture; and incorporate data governance and security across the data engineering lifecycle.

© 2023 Ascent Audio (Audiolibro): 9781663732347

Fecha de lanzamiento

Audiolibro: 21 de noviembre de 2023

Otros también disfrutaron...

  1. Data Mesh: Delivering Data-Driven Value at Scale
    Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
  2. AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
    AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence Laurence Moroney
  3. Software Engineering at Google: Lessons Learned from Programming Over Time
    Software Engineering at Google: Lessons Learned from Programming Over Time Tom Manshreck, Hyrum Wright, Titus Winters
  4. Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith
    Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith Sam Newman
  5. Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
    Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures Neal Ford, Mark Richards, Zhamak Dehghani, Pramod Sadalage
  6. Fundamentals of Software Architecture: An Engineering Approach
    Fundamentals of Software Architecture: An Engineering Approach Neal Ford, Mark Richards
  7. Clean Agile: Back to Basics
    Clean Agile: Back to Basics Robert C. Martin
  8. Site Reliability Engineering: How Google Runs Production Systems
    Site Reliability Engineering: How Google Runs Production Systems Chris Jones, Betsy Beyer, Jennifer Petoff, Niall Richard Murphy
  9. Building Microservices: Designing Fine-Grained Systems
    Building Microservices: Designing Fine-Grained Systems Sam Newman
  10. Security Chaos Engineering: Sustaining Resilience in Software and Systems
    Security Chaos Engineering: Sustaining Resilience in Software and Systems Aaron Rinehart, Kelly Shortridge
  11. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
    Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost, Tom Fawcett
  12. Coders at Work: Reflections on the Craft of Programming
    Coders at Work: Reflections on the Craft of Programming Peter Seibel
  13. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
    Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
  14. Information Architecture: For the Web and Beyond
    Information Architecture: For the Web and Beyond Louis Rosenfeld, Jorge Arango, Peter Morville
  15. Clean Architecture: A Craftsman's Guide to Software Structure and Design
    Clean Architecture: A Craftsman's Guide to Software Structure and Design Robert C. Martin
  16. Machine Learning Interviews: Kickstart Your Machine Learning and Data Career
    Machine Learning Interviews: Kickstart Your Machine Learning and Data Career Susan Shu Chang
  17. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
    Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs Mike Taylor, James Phoenix
  18. AI at the Edge: Solving Real-World Problems with Embedded Machine Learning
    AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Jenny Plunkett, Daniel Situnayake
  19. AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition
    AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition Laurence Moroney
  20. Learning Systems Thinking: Essential Non-Linear Skills and Practices for Software Professionals
    Learning Systems Thinking: Essential Non-Linear Skills and Practices for Software Professionals Diana Montalion
  21. Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
    Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning Alex J. Gutman, Jordan Goldmeier
  22. Managing Humans: Biting and Humorous Tales of a Software Engineering Manager
    Managing Humans: Biting and Humorous Tales of a Software Engineering Manager Michael Lopp
  23. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
    Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Chip Huyen
  24. Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
    Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python Sofien Kaabar
  25. The Year in Tech, 2024: The Insights You Need from Harvard Business Review
    The Year in Tech, 2024: The Insights You Need from Harvard Business Review Harvard Business Review
  26. The Ethics of Influence: Government in the Age of Behavioral Science
    The Ethics of Influence: Government in the Age of Behavioral Science Cass R. Sunstein
  27. Deep Learning
    Deep Learning John D. Kelleher
  28. Designing for Behavior Change: Applying Psychology and Behavioral Economics 2nd Edition
    Designing for Behavior Change: Applying Psychology and Behavioral Economics 2nd Edition Stephen Wendel
  29. The Innovation Ultimatum: How Six Strategic Technologies Will Reshape Every Business in the 2020s
    The Innovation Ultimatum: How Six Strategic Technologies Will Reshape Every Business in the 2020s Steve Brown
  30. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
    The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI Tsedal Neeley, Paul Leonardi
  31. The Politics Industry: How Political Innovation Can Break Partisan Gridlock and Save Our Democracy
    The Politics Industry: How Political Innovation Can Break Partisan Gridlock and Save Our Democracy Michael E. Porter, Katherine M. Gehl
  32. WTF?: What's the Future and Why It's Up to Us
    WTF?: What's the Future and Why It's Up to Us Tim O'Reilly
  33. AI Ethics
    AI Ethics Mark Coeckelbergh
  34. Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services, 1st Edition
    Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services, 1st Edition Rui Costa, Drew Hodun
  35. Database Internals: A Deep Dive into How Distributed Data Systems Work, 1st Edition
    Database Internals: A Deep Dive into How Distributed Data Systems Work, 1st Edition Alex Petrov
  36. Shocks, Crises, and False Alarms: How to Assess True Macroeconomic Risk
    Shocks, Crises, and False Alarms: How to Assess True Macroeconomic Risk Paul Swartz, Philipp Carlsson-Szlezak
  37. Fifty Years in Wall Street
    Fifty Years in Wall Street Henry Clews, Victor Niederhoffer
  38. Designing the Urban Future: Smart Cities
    Designing the Urban Future: Smart Cities Scientific American
  39. AI and the Future of Banking
    AI and the Future of Banking Tony Boobier
  40. Leading in a Non-Linear World: Building Wellbeing, Strategic, and Innovation Mindsets for the Future
    Leading in a Non-Linear World: Building Wellbeing, Strategic, and Innovation Mindsets for the Future Jean Gomes
  41. Personal Finance in Plain English: Definitions. Examples. Uses.
    Personal Finance in Plain English: Definitions. Examples. Uses. Michele Cagan
  42. Sustainability
    Sustainability Kent E. Portnoy
  43. Shifting the Balance: How Top Organizations Beat the Competition by Combining Intuition with Data
    Shifting the Balance: How Top Organizations Beat the Competition by Combining Intuition with Data Mark Schrutt
  44. Laws of UX: Using Psychology to Design Better Products & Services
    Laws of UX: Using Psychology to Design Better Products & Services Jon Yablonski

Explora nuevos mundos

  • Más de 1 millón de títulos

  • Modo sin conexión

  • Kids Mode

  • Cancela en cualquier momento

Audiolibros, ebooks y mucho más.

Unlimited

Dale play a tu próxima historia favorita.

$7.99 /mes

  • 1 cuenta

  • Acceso ilimitado

  • Escucha y lee los títulos que quieras

  • Modo sin conexión + Modo Infantil

  • Cancela en cualquier momento

Pruébalo ahora