This web content explores the process of building a weather data warehouse, focusing on loading a large amount of weather data into a database. The data being used is the ERA5 climate reanalysis product, offering a comprehensive historical view of Earth’s weather. The content delves into different methods of data insertion, comparing single-row inserts, multi-valued inserts, and the efficient copy statement. Various tools and techniques, including pg_bulkload and timescaledb-parallel-copy, are discussed for optimizing data loading speeds. Surprising benchmarks reveal the challenges of loading massive datasets and offer insights into the best methods for efficient data warehouse construction.
https://aliramadhan.me/2024/03/31/trillion-rows.html