THEMES

Data Engineering involves collecting, provisioning and maintaining excellent quality data for insights. For this, a data engineer needs to design and develop a scalable data architecture, set up processes that pool data from multiple sources, check the data quality, and eliminate corrupt data, etc.  At DES, we will discuss how organizations can leverage the potential of efficient and product data engineering workflow.