Oracle 26ai: Running XGBoost Directly in SQL (ep. 527) скачать в хорошем качестве

Oracle 26ai: Running XGBoost Directly in SQL (ep. 527)

Episode 5 of 5: The Oracle 26ai Series In this final episode, we tackle the biggest bottleneck in Data Science: Data Movement. We explain why the "Old Way" of exporting millions of rows to a spreadsheet or Python script is slow and insecure. Then, we show you the "Simple Alternative": using Oracle 26ai In-Database Machine Learning. We demonstrate how to run the industry-standard XGBoost algorithm directly inside the database using simple SQL commands. No complex Python environments, no CSV exports, and no security risks. In this video: The "Shadow IT" Problem: Why spreadsheets are dangerous. XGBoost Explained: The "20 Questions" game for your data. The Code: Writing your first PREDICTION() query in SQL. The Result: Real-time predictions without moving a single byte of data. Thank you for watching the full Oracle 26ai Series! Don't forget to like and subscribe for more Database History.