Extract-Transform-Load (ETL) processes have been around for a long time in programming, and they’re not too challenging to understand: you take data from one or many sources (legacy DB, SAP, third-party data lake, spreadsheets, etc.), transform it to fit your own application’s workflows, and then load it into your own data sources. You can use ETL processes for syncing data across sources, migrating legacy data, aggregating multiple data sources, and more.
As you might expect, ETL processes involve a lot of data, and it’s up to you to ensure that you’re building a nice, lean ETL process. No one wants an ETL process that takes hours to run if it’s possible to run it in minutes. In this live-demo talk, we’ll use Laravel to implement an ETL process where we start with a functioning yet inefficient scenario and step-by-step turn it into a lean, mean ETL process. No prior Laravel knowledge is necessary, just an open mind. We’ll review writing efficient database queries, architecting your code to avoid common inefficient pitfalls, and more.