Strategy and the choice of transformations
In the vast field of data analysis, having a sound data transformation strategy is vital. Such a strategy streamlines the process of converting raw data into a more useful and appropriate format for analysis and decision-making. This section will delve into how to develop a data transformation strategy, focusing on understanding data requirements, assessing data quality and performance, and aligning with analytics and reporting goals.
Developing a data transformation strategy
Embarking upon the terrain of data transformation strategy, it’s analogous to the work of an architect. Rather than building physical structures, however, we are curating the trajectory and architecture of data. It’s indeed an exhilarating task.
Understanding your data requirements
Recognizing your data requirements is the first and foremost step in crafting a data transformation strategy. Imagine you’re a detective, and the data is your...
