Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
A data warehouse (often abbreviated as DW or DWH) is a centralized “data warehouse” capable of integrating a variety of sources. It provides a separate environment from operational systems.
Transfer Learning is a powerful technique used to speed up the training process and improve the performance of artificial intelligence and machine learning models. Transfer learning enables a model to reuse knowledge learned in a previous task in another task.
Meta Data is data that describes other data in a structured, consistent form, so that large amounts of data can be collected, stored, and analyzed over time.
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