The increased requirements of modern analytical workloads, querying billions of rows on demand, are a challenge for relational databases because they're optimized for transactional workloads. While ...

Analytical workloads differ from transactional workloads in that most queries read a small subset of columns for very large numbers of rows. To optimize for these demands, most analytical databases ...

How to use Excel’s Data Model to turn related data into meaningful information Your email has been sent Excel's Data Model feature allows you to build relationships between data sets for easier ...

Over the past few years, there has been a subtle but significant shift in the way that data is structured in databases. Whereas yesterday’s databases were typically limited to storing data in rows and ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...