How to Transform Your Data in Snowflake - KDnuggets

Data transformation is integral to the analytics workflow and process. With analytics data coming from an ever growing array of disparate data sources, data transformation models the data to make it more understandable and consumable by the analytics and business teams. However, data transformation is the biggest bottleneck in the analytics workflow. According to IDC, analytics teams only spend 45% of their time performing analysis, with the remaining time spent searching for and preparing data. Additionally, a survey by TDWI cites a "lack of skilled personnel to model data" (36% of respondents) as the top challenge in cloud data integration.