Archive of posts with category 'Data Storage'
An explanation which focusing on the technical building blocks of a feature store and the separation of responsibilities between data engineers and data scientists.
An explanation of why we need data versioning and what kinds of data versioning tools exist.
We transform the raw data into vector embeddings to train/use an ML model (for example, in language processing). Vector databases store such embeddings and offer...
The author goes far beyond the basic SQL tutorials that got stuck with the SQL-92 standard.