Mixed workload is the capacity to support multiple applications with different SLAs in a single environment.
Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
Data virtualization is the reproduction of real data in a virtual environment. In this way, tests, experiments and analyses performed when working with real data can be carried out without compromising the accuracy and security of the real data.
Variational Autoencoders (VAE) are a powerful model in the world of deep learning and are used to discover hidden structures in data.
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