Messy data brings a does of reality to analytics projects everywhere - it's a problem for AI projects as well. But can AI allow us to turn the messy data.
With the expansion of data stores into cloud data warehouses, data lakes, lakehouses and more, metadata just got a lot tougher - and metadata solutions.
Do data scientists really spend 80% of their time wrangling data? Last time around, we examined this notion. But when it comes to data management, how can machine learning change data platforms for the better?