In today's data-driven world, collecting and querying data from multiple sources has become crucial for organizations. To maximize their datastores' potential, implementing best practices such as optimizing data ingestion pipelines, designing appropriate schema structures, and utilizing advanced querying techniques is essential. InfluxDB, a powerful time series database, provides a robust solution for managing and analyzing time-stamped data, allowing organizations to make informed decisions based on real-time insights. Understanding different data sources and selecting the right data ingestion methods is vital, as well as ensuring data integrity and consistency throughout the collection process. Effective data modeling involves understanding the structure and relationships of data entities and designing schemas that facilitate efficient data storage, retrieval, and analysis. Combining data sets from multiple sources requires tools such as SQL and Pandas for flexible and efficient data processing. By embracing a multi-data-source approach, organizations can unlock their data's full potential, gain actionable insights, and drive business growth and innovation.