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Название: Technical Building Blocks: A Technology Reference for Real-world Product Development
Автор: Gaurav Sagar, Vitalii Syrovatsky
Издательство: Apress
Год: 2022
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 12.2 MB, 11.3 MB

This book offers comprehensive coverage of the various technologies and techniques used to build technical products. You will learn how technical product development is collaboratively done across multiple technical teams, primarily those in software engineering, data engineering, and AI/ML engineering. You will also be introduced to the technologies these teams use to develop features and products.

Any roles in the organization work alongside these technical product development teams and act as liaisons between them, the stakeholders, the customers, and the leadership team. The people in these roles must understand technical aspects ranging from system design to artificial intelligence, and be able to engage in technical discussions with the engineering teams to determine the pros, cons, and risks associated with the development of a technology product or feature.

Technical Building Blocks will help you master these technical skills. The book has just the right level of technical details to neither overwhelm with unnecessary technical depth, nor be superficial.

From concepts to code snippets, authors Gaurav Sagar and Vitalii Syrovatskyi cover it all to give you an understanding of the engineer's mind and their work. Special emphasis on figures and charts will help you grasp complex ideas more quickly. After reading this book, you’ll be able to effectively communicate with engineering teams, provide valuable inputs in the system design review meetings of upcoming features and products, synthesize and simplify technical updates for cross-functional teams and stakeholders, and pass those dreaded technical interviews at your dream companies.

What You Will Learn:

Intrinsic details of the teams and techniques used for product development
Concepts of cloud computing and its deployment models
System design fundamentals required to architect features and products
Evolution of data pipelines and data storage solutions to support big data
ML and deep learning algorithms to build intelligence into products
Securing products through identity and access management using cryptography
Role and working of blockchains, smart contracts, NFTs, and dApps in Web3

Contents:
Introduction
Chapter 1: Product Development: A Synergy of Teams and Techniques
Chapter 2: Cloud: On Demand Computing Resources for Scale and Speed
Chapter 3: System Design: Architecting Robust, Scalable, and Modular Applications
Chapter 4: Data Engineering: The Supply Chain of Data
Chapter 5: Artificial Intelligence: Making Machines Learn Untitled
Chapter 6: Information Security: Safeguarding Resources and Building Trust
Chapter 7: Blockchain: The Foundation of Web3












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