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Time-Series Database Designing and Modeling

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Time-Series Database Designing and Modeling

By: Ajit Singh
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This book, "Time-Series Database Designing and Modeling," is born from the need for a comprehensive, accessible, and practical guide for the next generation of technologists. It is designed to serve as a bridge between foundational database theory and the cutting-edge practices required in the industry today. We embark on a journey that starts with the fundamental "what" and "why" of time-series data and culminates in the hands-on "how" of building a complete, real-world application.


Key Features of This Book:

1. Beginner to Advanced Progression: A logically structured learning path that takes the reader from basic definitions to advanced architectural patterns and a final implementation project.
2. Practical, Hands-On Approach: Every chapter is rich with practical examples, code snippets, and hands-on labs that allow readers to experiment and solidify their understanding.
3. Real-World Case Studies: Includes case studies from domains like IoT, FinTech, and DevOps to illustrate how TSDBs are used to solve real business problems.
4. In-Depth Coverage of Modern Tools: Features dedicated chapters on industry-leading open-source TSDBs like InfluxDB and TimescaleDB, providing practical skills with high market demand.
5. Complete Capstone Project: The final chapter guides the reader step-by-step through building a complete Real-Time IoT Monitoring System, including all working code and detailed explanations.
6. Simple and Lucid Language: Complex technical concepts are explained in a clear, concise, and easy-to-follow manner, making the book accessible to a wide audience.
7. Strong Foundational Concepts: Thoroughly covers core design and modeling principles, including data structures, schema design, ingestion pipelines, query optimization, and scalability.


The book is meticulously structured to cater to both beginners and advanced learners. It begins with the absolute fundamentals, assuming no prior knowledge of time-series databases, and progressively builds up to advanced topics like high-availability architectures, complex querying, and a full-scale capstone project. The book emphasizes a "learn-by-doing" approach, ensuring that students not only grasp the theory but also gain the confidence to apply it in real-world scenarios.

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Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

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