The article walks through five iterative experiments using MySQL HeatWave AutoML on a golf league dataset, showing how data quality, feature selection, and over‑fitting affect predictive accuracy and emphasizing that high‑quality data is essential for reliable AI models.
The article examines Oracle's release of MySQL 9.0, highlighting developer disappointment, serious bugs warned by Percona, the company's shift toward the proprietary HeatWave analytics engine, and the broader implications for the open‑source MySQL community.
Oracle’s post‑acquisition strategy has left MySQL lagging behind modern developers, while PostgreSQL, praised for features like parallel queries and vector search, now dominates the open‑source database market, prompting calls for MySQL’s transfer to the Linux Foundation to avoid obsolescence.
The article explains MySQL’s new versioning model, introducing Innovation and Long‑Term Support (LTS) releases, detailing transition timelines, feature deprecation, upgrade and downgrade strategies, and the role of MySQL HeatWave, while also providing links to download and community resources.
MySQL introduces Innovation and Long‑Term Support (LTS) release tracks, offering faster feature delivery for Innovation builds and stable, minimal‑change updates for LTS, while outlining new version cadence, HeatWave service options, deprecation policies, and detailed upgrade‑downgrade paths for developers and DBAs.
