May 1, 2024
Updated June 15, 2025
20 minute read
Navigating the World of Data Fetching
Data fetching is the process of retrieving data, whether from a local database, a remote server, or any other data source, and making it available to an application. It's a fundamental operation in most software applications, especially in web and mobile development, where dynamic content is king. Imagine browsing an e-commerce site; the product listings, prices, and reviews you see are all dynamically fetched. Similarly, when you check the weather on an app or scroll through your social media feed, data fetching is working behind the scenes to deliver that information to your screen.
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Reading list
We've selected 48 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data fetching.
Is essential for gaining a broad understanding of the challenges and solutions involved in building data systems. It covers fundamental concepts relevant to data fetching, such as data models, storage, retrieval, and the trade-offs in distributed systems. It serves as an excellent foundation for anyone working with data-intensive applications and is often cited as a must-read in the field.
A definitive guide to designing and consuming RESTful APIs, which are a prevalent method for data fetching in web and mobile applications. The book covers the principles of REST, hypermedia, and best practices for building evolvable APIs. It's valuable for understanding the server-side of data fetching and how well-designed APIs facilitate efficient data retrieval on the client side. solid reference for developers working with REST APIs.
Offers a hands-on guide to the entire lifecycle of web API design, emphasizing a consumer-mindset. It's highly relevant for anyone involved in creating APIs that will be used for data fetching by other applications. The focus on practical examples and the consumer perspective makes it valuable for ensuring APIs are easy to understand and use.
Offers a pragmatic approach to learning GraphQL, focusing on building full-stack applications with JavaScript, React, and Node.js. It's a practical guide for developers who want to learn GraphQL by building projects. It's suitable for those with some JavaScript experience looking to integrate GraphQL into their development workflow.
Data fetching in JavaScript is inherently asynchronous. provides a solid foundation in asynchronous programming concepts in JavaScript, covering callbacks, promises, and async/await. Understanding these concepts is fundamental to effectively managing data fetching operations without blocking the main thread and ensuring a responsive user interface. This book is essential for any JavaScript developer dealing with data fetching.
GraphQL modern alternative to REST for data fetching, offering more flexibility and efficiency. provides a clear introduction to GraphQL, covering its concepts and how to use it in modern web applications. It's particularly relevant given the mentions of GraphQL in the course list.
Dives deeper into building and optimizing GraphQL APIs and clients. It's a practical guide with examples, useful for developers who want to implement GraphQL solutions for data fetching.
Provides practical guidance on designing and implementing RESTful APIs with a focus on design patterns and best practices. It covers topics like API gateways, security, and cloud deployment, which are relevant to the infrastructure supporting data fetching. It's a good resource for developers who want to build robust and scalable REST APIs.
To understand data fetching over networks, a solid grasp of networking fundamentals is crucial. provides a comprehensive introduction to computer networking from an application perspective, which is highly relevant to how applications fetch data over the internet. It's widely used as a textbook in undergraduate computer science programs.
Reactive programming powerful paradigm for handling asynchronous data streams, which is highly relevant to data fetching, especially in front-end applications. introduces RxJS and how to use Observables to manage asynchronous events and data flows. It's valuable for those working with frameworks like React and Angular that often utilize reactive patterns for data handling.
Focuses specifically on advanced techniques and patterns for data fetching within the React ecosystem. It's highly relevant for developers working with complex React applications and looking to optimize their data fetching strategies.
Provides a comprehensive guide to machine learning using Python, a popular programming language for data science. It covers the basics of machine learning, including supervised learning, unsupervised learning, and deep learning. This book also provides practical examples of how to use machine learning to solve real-world problems.
Provides a comprehensive overview of big data analytics, a subfield of computer science that deals with the extraction of knowledge from large amounts of data. It covers the basics of big data analytics, including data storage, data processing, and data analytics algorithms. This book valuable resource for anyone looking to learn more about big data analytics.
Provides a comprehensive overview of data-intensive text processing using MapReduce, a programming model for processing large amounts of data. It covers the basics of MapReduce, including MapReduce algorithms, MapReduce programming, and MapReduce applications. This book valuable resource for anyone looking to learn more about data-intensive text processing using MapReduce.
Provides a comprehensive overview of natural language processing, a subfield of computer science that deals with the interaction between computers and human (natural) languages.
Provides a comprehensive overview of speech and language processing, a subfield of computer science that deals with the processing of spoken and written language.
Provides a comprehensive overview of computational linguistics, a subfield of computer science that deals with the computational aspects of human language.
Provides a comprehensive overview of lexical semantics, a subfield of linguistics that deals with the meaning of words.
Focuses on applying reactive patterns using RxJS within the Angular framework for managing application data. It's highly relevant for developers working with Angular and seeking to implement efficient and reactive data fetching and state management strategies.
SWR is another popular React Hook library for data fetching. or resource would provide guidance on using SWR, covering its features for caching, revalidation, and error handling. It's directly relevant to the course context.
Provides an in-depth introduction to designing REST APIs, focusing on best practices and the associated tools. It's a good starting point for beginners who want to understand the principles behind designing effective and well-documented APIs for data fetching.
Explores both GraphQL and Relay, a JavaScript library for building data-driven React applications with GraphQL. It's relevant for developers using React and interested in a comprehensive solution for managing data fetching and updates with GraphQL.
Provides a comprehensive overview of data science, with a focus on the business applications of data science. It covers the basics of data science, including data collection, cleaning, and analysis, as well as more advanced topics such as machine learning and data visualization. This book valuable resource for anyone looking to use data science to improve their business.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/xegvk4/data
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