Every database is a collection of engineering tradeoffs. Learn the 9 design decisions that shape how query engines store, index, and process your data.
If you grant a Large Language Model direct access to a raw Amazon S3 bucket filled with Parquet files, it will fail to answer your business questio...
If you pull a million records from a database into a Python notebook, the query runs instantly, but the transfer feels endlessly slow. Your compute...
If you drop ten thousand Parquet files into an S3 bucket, you have a data swamp. You do not have a database. To run SQL queries against those files...
