Hlustaðu og lestu

Stígðu inn í heim af óteljandi sögum

  • Lestu og hlustaðu eins mikið og þú vilt
  • Þúsundir titla
  • Getur sagt upp hvenær sem er
  • Engin skuldbinding
Prófa frítt
is Device Banner Block 894x1036

Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reliable Systems

Lengd
3Klst. 58Mín.
Tungumál
enska
Format
Flokkur

Óskáldað efni

“Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reliable Systems” is a comprehensive guide to building robust and scalable applications in the era of big data. With the explosion of data in recent years, building applications that can handle massive amounts of data has become increasingly important. This book covers the entire lifecycle of data-intensive applications, from designing and developing the application to deploying it in a production environment.

The book begins with an introduction to the challenges and opportunities of building data-intensive applications. It then moves on to cover the key concepts and technologies used in building these applications, including distributed systems, data processing frameworks, and storage technologies. The book also covers best practices for designing and developing data-intensive applications, including how to handle data at scale, how to ensure reliability and fault tolerance, and how to optimize performance.

In addition, the book covers the deployment and management of data-intensive applications, including strategies for deploying applications in the cloud, managing infrastructure, and monitoring and debugging applications in production. The book also includes case studies and real-world examples from companies that have successfully built and deployed data-intensive applications.

Whether you are a software engineer, data scientist, or IT professional, this book will provide you with the knowledge and skills you need to build and deploy data-intensive applications that are scalable, reliable, and performant.

© 2024 Brian Murray (Hljóðbók): 9798347895793

Útgáfudagur

Hljóðbók: 27 november 2024

Aðrir höfðu einnig áhuga á...

  1. Data Modeling and Design Essentials: A Beginner's Guide Sam Campbell
  2. Data Scaling and Normalization: A Comprehensive Guide to Enhancing Data Quality and Model Performance Chuck Sherman
  3. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
  4. Data Science Demystified: A Beginner’s Guide: Unlocking Insights with Data Analysis Rebecca Davis
  5. Data Analytics Unleashed: Turning Numbers Into Strategic Insights: Transforming Complex Data into Clear Solutions Jessica Whitman
  6. Serverless Data Engineering: Streamlining Big Data Workflows in the Cloud Chuck Sherman
  7. Insight Engine: Harnessing the Power of Data Science: Unlocking Predictive Analytics and Business Intelligence Zoe Thompson
  8. The Art of Data Science: Transformative Techniques for Analyzing Big Data Daniel Martinez
  9. Data Structures for Beginners: Mastering the Building Blocks of Efficient Data Management Brian Murray
  10. Data Science and Analytics for Beginners: Unlocking the Secrets of Data Science and Analytics for Informed Decision-Making and Predictive Insights James Ferry
  11. AI-Driven Data Engineering: Unleashing the Power of Data for the Future Chuck Sherman
  12. Edge Computing: Revolutionizing Data Processing at the Network Edge James Ferry
  13. SQL for Data Analysis: Harnessing the Power of SQL for Insightful Data Exploration SAM CAMPBELL
  14. Data Quality for Beginners: Architecting Scalable Solutions for Informed Decision-Making and Innovation Sam Campbell
  15. Enchantress Of Venus Leigh Brackett
  16. Fundamentals of Software Architecture: An Engineering Approach Neal Ford
  17. Security Chaos Engineering: Sustaining Resilience in Software and Systems Aaron Rinehart
  18. 97 Principles for Software Architects: Axioms for software architecture and development written by industry practitioners Multiple Authors
  19. Building Microservices: Designing Fine-Grained Systems Sam Newman
  20. Agile Project Management with Scrum: How to Use the Scrum to Boost a Team’s Productivity Alex Campbell
  21. Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures Neal Ford
  22. Docker Unboxed: Mastering Modern Infrastructure with Container Technology Sophia Bell
  23. Coders at Work: Reflections on the Craft of Programming Peter Seibel
  24. Software Engineering Fundamentals Introbooks Team
  25. App Architect: Navigating Mobile App Development: Crafting Innovative Solutions for the Digital Age Jonathan Parker
  26. Navigating Docker: From Setup to Deployment: A Developer's Companion Ethan Calderwood
  27. Machine Learning: Unlocking Patterns and Insights with Advanced Algorithms Victor Sage
  28. Production Kubernetes: Building Successful Application Platforms John Harris
  29. Version Control Systems: Mastering Collaboration and Efficiency in Software Development Daniel Green
  30. Machine Learning Unraveled: Exploring the World of Data Science and AI Alex Murphy
  31. Navigating the Machine Learning Landscape: A Primer to Algorithms, Data Models, and Applications Aria Chen
  32. Edge Computing: Revolutionizing Data Processing at the Fringe of Connectivity Steve Abrams
  33. The Machine Learning Revolution: How Algorithms Are Redefining Our World Nora Kim
  34. Backend Dev | Java, Docker and AWS: A comprehensive guide to mastering backend engineering with Java, Docker, and AWS Et Tu Code
  35. Extreme Programming for Beginners: Embracing Agility, Quality, and Collaboration in Software Development Daniel Green
  36. Coding for Beginners Using Python: A HANDS-ON, PROJECT-BASED INTRODUCTION TO LEARN CODING WITH PYTHON MARK MATTHES AND ERIC LUTZ
  37. Cobol: Cobol Basics for Beginners Andy Vickler
  38. Advanced Java: From Beginner to Professional: Navigating the World of Java Laura Evans
  39. Java in Action: The Journey of Java: From Core Concepts to Advanced Programming Elizabeth King
  40. The JavaScript Journey: From Basics to Full-Stack Mastery Priya Singh
  41. Mastering JavaScript: Advanced Techniques: Unlocking the Full Potential of Modern Web Development Mark Bennett
  42. Machine Learning with Python: Advanced Methods and Strategies to Learn Machine Learning with Python Alexander Cane

Veldu áskrift

  • Yfir 900.000 hljóð- og rafbækur

  • Yfir 400 titlar frá Storytel Original

  • Barnvænt viðmót með Kids Mode

  • Vistaðu bækurnar fyrir ferðalögin

Vinsælast

Unlimited

Besti valkosturinn fyrir einn notanda

3290 kr /mánuði
3 dagar frítt
  • 1 aðgangur

  • Ótakmörkuð hlustun

  • Yfir 900.000 hljóð- og rafbækur

  • Engin skuldbinding

  • Getur sagt upp hvenær sem er

Prófaðu frítt

Family

Fyrir þau sem vilja deila sögum með fjölskyldu og vinum.

Frá 3990 kr/mánuði
3 dagar frítt
  • 2-6 aðgangar

  • 100 klst/mán fyrir hvern aðgang

  • Yfir 900.000 hljóð- og rafbækur

  • ‎Engin skuldbinding

  • Getur sagt upp hvenær sem er

2 aðgangar

3990 kr /á mánuði
Prófaðu frítt