We’ve all done it. We needed to pull data out of an SQL database, and the query we needed to pull out data was a complex query with multiple table joins, complex filter criteria, and sophisticated ...

In the rapidly evolving landscape of the finance industry, the advent of synthetic data stands out as a groundbreaking development to revolutionize the way financial institutions harness data for ...

The Master's of Professional Studies in Data Sciences and Applications program trains students in analytics, including standard methods in data mining and machine learning, so they will possess the ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Finance is an evergreen field with an abundance of data. There ...

Designing and implementing a proper database for application development is a complex and time-consuming task. The choices made during database and application design will impact the usefulness of the ...

Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges. Digital transformation continues to be a ...

A constant influx of new technologies and strategies to improve enterprise functions and growth can often lead to companies being overwhelmed with choice; which program is right for my needs? How do I ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Next-generation database companies are developing technologies to help businesses manage increasing volumes of data and increasingly complex data types. Not Your Father’s Relational Database The world ...