Book Image

The Cloud Computing Journey

By : Divit Gupta
Book Image

The Cloud Computing Journey

By: Divit Gupta

Overview of this book

As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies. This comprehensive cloud computing guide offers the expertise and best practices for evaluating different cloud vendors and tools. The first part will help you gain a thorough understanding of cloud computing basics before delving deeper into cloud architecture, its design, and implementation. Armed with this expert insight, you'll be able to avoid costly mistakes, ensure that your cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business. By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.
Table of Contents (19 chapters)
Free Chapter
Part 1: Fundamentals and Components of the Cloud
Part 2: Compute, Storage, and Networking
Part 3: Security, Compliance, and Databases
Part 4: Monitoring, Backup, and Restore

Data modeling and schema design

In this section, we will delve into the foundational principles of structuring data effectively within database systems. It explores the process of defining data models and creating schemas that optimize data storage, retrieval, and manipulation. Readers will learn about the importance of selecting appropriate data types, creating relationships between entities, and establishing constraints to ensure data integrity.

This section delves into both conceptual and physical data modeling, guiding readers through the steps of conceptualizing the data structure and translating it into a concrete database schema. It covers normalization techniques to reduce data redundancy and improve database efficiency. Moreover, readers will gain insights into denormalization strategies for specific performance optimization needs.

Through real-world examples and best practices, this section equips readers with the skills to design databases that align with the specific...