The text provides a comprehensive guide on effectively utilizing time-series data, highlighting its applications in various fields such as finance, logistics, and environmental monitoring. It emphasizes the importance of selecting the right database, noting that not all "big cloud" providers offer the best solutions. The guide includes insights on optimizing database performance, utilizing compression to reduce storage costs, and integrating with third-party tools. It also discusses the benefits of using TimescaleDB for time-series forecasting and highlights the advantages of using PostgreSQL extensions and tools like Grafana for data visualization. The text introduces Dynamic PostgreSQL for handling bursty workloads without overprovisioning and describes a tiered storage solution for scalable and cost-effective data management. Overall, it serves as a valuable resource for both newcomers and experienced database administrators, offering practical tips and recommended resources to enhance their use of time-series data.