The Data Technologies Engineering team manages the systems that onboard all the referential data that drive Bloomberg’s applications & enterprise solutions.

Despite huge investments in data management, companies still continue to perceive data as one aspect of a technology project and do not treat it as a corporate asset.

As a data engineering leader with over 15 years of experience ... the real driving force behind AI’s success is data. A 2024 study by MIT Technology Review Insights and Snowflake found that ...

Data engineering technology trends. In its research, Dattell compiled a list of the top 20 most popular data engineering technologies, pointing to such tools as Microsoft Power BI, ...

Collaboration and Support: DES works closely with various departments to understand their data needs and provide tailored solutions. The team offers ongoing support to ensure that users can ...

The rise of generative AI, coupled with the rapid adoption and democratization of AI across industries this decade, has emphasized the singular importance of data. Managing data effectively has ...

WeThinkCode_ has successfully rolled out its Data Engineering elective that it introduced in 2024. The elective was designed ...

Research at Rochester Institute of Technology into new energy-efficient materials for computing could improve the bottleneck that often occurs when retrieving large amounts of data, hindering ...