Data engineering is a critical component of the data science and analytics process. It involves designing, building, and maintaining the infrastructure necessary to support data-driven decision making.

Data is considered as the new oil, and just as oil requires refining before it can be used, so does data. Data cleaning is an essential part of the data preparation process, which is crucial in the data analysis process.

Building a Data Hub - In today's data-driven world, businesses are accumulating large amounts of data on a daily basis. To manage and make use of this data, many organizations are turning to data hubs.

The Worldwide Master Data Management Industry is Expected to Reach $39.4 Billion by 2028