Mixed workload is the capacity to support multiple applications with different SLAs in a single environment.
Hyperparameter tuning is a technique used to optimize the performance of machine learning models. Hyperparameters are predetermined parameters that do not change throughout the learning process of the model. Correct selection of these parameters can significantly improve the accuracy of the model, the ability to generalize, and the computational efficiency.
Cascading is a platform for developing big data applications on Hadoop.
DataOps (Data Operations) is a methodology developed to accelerate and optimize data management processes. Created with inspiration from the DevOps approach used in software development processes, DataOps covers all stages in which data is collected, processed, analyzed and made available.
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