Natural Language Processing is one of the important processes for data science teams across the globe. With ever-growing data, most of the organizations have already moved to big data platforms like Apache Hadoop and cloud offerings like AWS, Azure, and GCP. These platforms are more than capable of handling big data that enables organizations to perform analytics at scale for unstructured data like text categorization. But when it comes to machine learning, there is still a gap between big data systems and machine learning tools.