HeatWave customers now have access to HeatWave Machine Learning (ML), which is a fully managed, highly scalable, cost-efficient, machine learning solution for data stored in MySQL. HeatWave ML provides a simple SQL interface for training and using predictive machine learning models, which can be used by novice and experienced ML practitioners alike. With HeatWave ML, you can train a model with a single call to an SQL routine. Similarly, you can generate predictions with a single
SELECTstatement which can be easily integrated with your applications.
With HeatWave ML, data and models never leave the MySQL Database Service, saving you time and effort while keeping your data and models secure. HeatWave ML is optimized for HeatWave shapes and scaling, and all HeatWave ML processing is performed on the HeatWave Cluster. ML computation is distributed among HeatWave nodes, taking advantage of HeatWave's scalability and massively parallel processing capabilities. For more information about HeatWave's machine learning capabilities, see HeatWave ML.
HeatWave now compresses data as it is loaded, which permits HeatWave nodes to store more data. More data per node reduces costs by minimizing the size of the HeatWave Cluster required to store your data. Data compression is enabled by default but can be disabled at runtime using the
rapid_compressionsession variable. For more information, see Data Compression.