How Auto Loader simplifies working with (incremental) data in your data lake
It’s not easy to work with incremental data in a data lake. If you would want to transform only the data files that just entered your data lake, you would need a notification service, a message queue and/or a batch trigger all to just get the incremental files. This can be done with Auto Loader. What is Auto Loader?Auto Loader is a Spark feature that allows this out-of-the box. It allows to incrementally load the data as soon as it lands on the cloud storage.