Define success through data first, then engineer features as extensions of that reality model. Detach emotionally from features; build flexible systems designed for learning, not premature perfection.

I'm interested to hear discussion on patterns for multi-tier applications having a central (in-house, internal network) datadatabase, but multiple UI clients across multiple platforms (HTML5, Android, ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

If your are wondering how to handle large datasets and complex calculations in your spreadsheets. This is where MS Excel PowerPivot comes into play. PowerPivot is an advanced feature in Excel that ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...