Utilizing Machine Learning In Data Management

In the era of big data, where 2.5 quintillion bytes of data are generated each day, the complexities and limitations of traditional data management systems become evident. Machine learning stands as a compelling tool to augment these refineries, with its pillars of data collection, storage, and retrieval. Traditional ETL and ELT processes have been essential for data integration and transformation, setting the stage for further analytics. However, these paradigms are now colliding with limitations such as scale and flexibility, leading to the need for advanced solutions.