There’s no denying how critical data is for businesses across industries and niches. Companies rely on data for everything from marketing to customer conversions. However, to make use of the available data, it’s essential to have the proper tech architecture that can support data collection and analysis. Catherine Tao and Bhargavi Reddy Dokuru have sat down in todays podcast to discuss the importance of data engineering in the workplace. Bhargavi has years of experience building scalable data infrastructures that drive results. She shares her unique insights on what it takes to establish an efficient data pipeline that improves data utilization and effectiveness. Scalability of the tech architecture, recoverability of data, and query performance are three of the most important aspects of proper data engineering in any company. Have a listen to the podcast to learn more about what data engineering in the workplace involves and why it’s so important.