MySQL HeatWave User Guide
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HeatWave customers now have access to HeatWave AutoML, which is a fully managed, highly scalable, cost-efficient, machine learning solution for data stored in MySQL. HeatWave AutoML 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 AutoML, you can train a model with a single call to an SQL routine. Similarly, you can generate predictions with a single
CALLorSELECTstatement which can be easily integrated with your applications.With HeatWave AutoML, data and models never leave the MySQL Database Service, saving you time and effort while keeping your data and models secure. HeatWave AutoML is optimized for HeatWave shapes and scaling, and all HeatWave AutoML 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 AutoML. (WL #14661, WL #14836, WL #15014)
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. (WL #14868)