In today data-driven world businesses rely on accurate and timely information to make decisions This often means dealing with vast amounts of raw data which needs to be cleaned structured and made rea ...

The Finnish Food and Drink Industries' Federation (ETL) is calling on the government to immediately withdraw its plan to ...

And before that data is ready for analysis, it needs to be combined, cleaned, and normalized—a process otherwise known as extract, transform, load (ETL)—which can be laborious and error-prone.

A distinguished researcher in data engineering, Pradeep Kumar Vattumilli sheds light on a transformative approach to ...

Organizations are inundated with vast amounts of data. This data originates from various sources, including customer interactions, transactions, and social media engagements. The ability to harness ...

Katta’s expertise in optimizing ETL workflows and implementing data quality frameworks can serve as a blueprint for ...