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Book Overview & Buying
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Table Of Contents
Data Modeling with Snowflake - Second Edition
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Before we can begin planning and justifying data modeling efforts, it’s important to dismiss some common misconceptions that can hinder these initiatives from starting. Unlike the barriers we will cover later in this chapter, which require some actions to overcome, misconceptions can often be dispelled outright if we are prepared to address them. Below are some misconceptions about data modeling that you might encounter, typically framed as questions from senior decision-makers when reviewing a data modeling proposal. Let’s ensure we have the correct responses ready when they do.
The misconception that data modeling is a technical activity with limited application outside the data team likely stems from the legacy tooling that data modeling has been confined to for decades. When the data model exists solely in specialized software on the desktop of the data architect and can, at best, be viewed in static...