Versioned or historical data has long been essential for strategic decision-making based on data analysis. In data driven companies, an efficient versioning of data is a must.
Data versioning therefore has become a prominent piece of modern data architectures. This talk provides an overview of typical use cases for data versioning and discusses the pros and cons of the existing methods and tools.
