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Concept of Time-Series Database
Paperback
Publisher: Independently Published
Published: Sep 7 2025
Pages: 242
Weight: 0.72
Height: 0.51 Width: 6.00 Depth: 9.00
Language: English
2. Aspiring Data Engineers and Database Administrators who want to specialize in time-series systems.
3. Software Developers and DevOps Engineers building monitoring, IoT, or real-time analytical systems.
4. Data Analysts and Scientists who need to work with time-stamped datasets.
5. University Professors and Educators looking for a structured, NEP 2020-compliant textbook for their courses. What you will learn from this book: 1. Master the fundamental concepts that define time-series data.
2. Understand the architectural differences between time-series and traditional databases.
3. Learn proven techniques for designing and modeling efficient time-series schemas.
4. Gain hands-on experience with industry-leading TSDBs like InfluxDB and TimescaleDB.
5. Write powerful queries to aggregate, analyze, and transform time-series data.
6. Build interactive and insightful dashboards using tools like Grafana.
7. Explore real-world case studies from FinTech, IoT, and DevOps.
8. Build a complete, end-to-end capstone project from scratch. Key Features: 1. Beginner to Advanced Progression: The content is carefully curated to provide a smooth learning curve, starting with basic definitions and concluding with advanced topics and a live project, making it suitable for both undergraduate and postgraduate learners.
2. Hands-On and Practical: Theory is immediately followed by practice. The book is packed with code samples, step-by-step labs, and configuration guides to ensure you learn by doing.
3. Real-World Case Studies: Dedicated chapters explore how time-series databases are used to solve critical problems at companies in various industries, providing context and motivation.
4. Clear and Simple Language: Complex technical concepts are explained in the simplest and most relevant manner possible, using analogies and practical examples to aid comprehension.
5. Focus on Modern Technologies: The book provides deep dives into popular and marketable technologies like InfluxDB, TimescaleDB, and Grafana, ensuring the skills you learn are current and in-demand.
6. Complete Capstone Project: The final chapter guides you through building a fully functional IoT monitoring system, integrating all the concepts learned throughout the book into a single, impressive portfolio piece.
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