Machine Learning straight through SQL

Machine learning is one area that cannot succeed without data. Traditionally, machine learning frameworks read it from CSV files or similar data sources. This brings an interesting set of challenges because in most cases the data is stored in databases, not simple raw files. It takes time and effort to move data from one format to another. Additionally, one needs to write some code (usually python) to prepare the data just like the ML framework expects it.

I was pleasantly surprised when I saw during the MariaDB Server Fest that MindsDB, an automatic machine learning system, presented their integration with MariaDB.

Read more