Generating Synthetic Data using deep learning model.

There's no denying that biggest resource in the 21st century is data -- Data is often referred as the 4th industrial generation; companies who have adopted this model of collecting data and using it to make informed decisions are the ones who are thriving. But collecting data and generating experiments is not elementary as it sounds -- most mid level companies do not have the infrastructure or the resources to store scalable data. In most scenario's when you have to test a machine learning / AI model with no scalable data we have to generate synthetic data using machine learning. In some used cases synthetic data is generated because the company wants to keep its data confidential. Synthetic Data Vault (SDV) is a synthetic data generation ecosystem that allows a user to easily create synthetic data by learning from single table, multi-table, text and time series datasets.