Many organisations have been using data to derive insights and make decisions for years and even decades now. If you have worked in such an organisation or own one or more of them, you will know that gaining insights from data is not a walk in the park. When you think of it, it appears easy -- get the data, clean, structure, and load it and fire queries. Well, that works with few data sets, but imagine you need to do that on a large scale, day in day out, without much delay and expect accurate answers -- it gets complicated. Hence, organisations have been spending a huge amount of resources on building enterprise-wide ETL frameworks to extract, transform and load the data into data warehouses capable of storing them at a large scale in a structured format (and often pre-aggregated).