"8 Data Modeling Patterns in Redis," a comprehensive e-book on data modeling in NoSQL, explores eight data models that developers can use to build modern applications without the limitations of traditional relational databases. Unlike relational databases, NoSQL allows for flexible schema designs, enabling developers to model data without prefiguring future changes. This approach simplifies data storage and retrieval, reducing overhead and improving performance. The e-book introduces various data modeling patterns, including the Embedded Pattern, which bundles two tables into one, and the Aggregate Pattern, which precalculates fields during writes to reduce read time and overhead. It also covers the Bucket Pattern for storing time-series data, the Revision Pattern for tracking document changes, and the Tree and Graph Pattern for handling JOIN operations. The Schema Version Pattern allows developers to pivot easily between different data models, making it a valuable tool for building modern enterprise applications. By leveraging these patterns, developers can build scalable and flexible applications that adapt to changing business needs.