This post will help you to load your data stored in PostgreSQL to Google BigQuery. You will perform advanced analysis on a system that is dedicated to analytics and is suitable for this kind of data payload, like Google BigQuery, without worrying about interfering with the production setup.
Generally speaking, replicating a PostgreSQL to any other database system is not a trivial task. Exporting a PostgreSQL database into CSV files using the pg_dump command and loading them into any other system is not enough. You also need to take care of the loading of new or updated data using a CRON job that will constantly trigger the execution of a script that will check for new updates in your tables. However, especially in cases where latency is an important factor, this process can be extremely slow.
Also, depending on the selected destination, the data loading process can be significantly different. Alternatively, you can simplify the process of syncing data from PostgreSQL to Google BigQuery by using RudderStack, which does all the heavy lifting in just a few clicks so that you can focus on what matters - data exploration and the analysis.