Kedro Catalog
I am exploring a kedro catalog meta data hook, these are some notes about what I am thinking. Process # metadata will be attached to the dataset object under a attribute metadata will be updated metadata will be empty until a pipeline is ran with the hook on optionally a function to add metadata will be added metadata will be stored in a file next to the meta Problems This Hook Should solve # what datasets have a columns with in the name what datasets were updated after last tuesday which pipeline node created this dataset how many rows are in this dataset (without reloading all datasets) implementation details # metadata will be attached to each dataset as a dictionary list/dict comprehensions can be used to make queries Metadata to Capture # try pandas method -> try spark -> try dict/list -> none column names length Null count created_by node name Database? # Is there an easy way to create a nosql database in memory from a a list of dictionaries? list-dict-DB dataset TinyDB