Tag: Data model

Transfer learning is an approach where the model pre-trained for one task is used as a starting point for another task. It’s extremely useful in scenarios where there are limited data available for model training, or when training a large…

In this blog post, I would like to share some options that you can consider to model your cloud DW for better query performance.  With a traditional EDW, we would either come up a STAR, Snowflake or similar schemas. These…

Introduction I have a database server that has these features: High available by design. Can be globally distributed. Allows applications to write to any node anywhere, anytime. Linearly scalable by simply adding more nodes to the cluster. Automatic workload and…