Category: Topic

As data warehousing technologies continue to grow in demand, creating effective data models has become increasingly important. In particular, optimizing online transactional processing (OLTP) data models—which define the structural relationships between normalized tables and entities—for efficient transactional processing is crucial.  However,…

Big data has taken the world by storm, and as enterprises worldwide scramble to make sense of it, it continues to hit hard. Given the amounts of data produced daily, not only are they overwhelmed dealing with it, but they…

Modern organizations must process information from numerous data sources, including applications, databases, and data warehouses, to gain trusted insights and build a sustainable competitive advantage. In a bid to quantify this, Market Pulse concluded through its survey that companies, on…

Each year, medical errors in the US alone claim 100,000 lives. This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a…