It’s often the case that you deal with incomplete or messy datasets all the time. Data from varied sources can be unusable in the beginning but once the data is transformed, mapped and cleansed it becomes usable. …

Hello everyone! It’s nice to be back after a long pause. Has been a while since we have blogged on CDAP. It’s this month, last year that Cask was acquired and since then a lot has happened with CDAP as well as around it. Before I get into the details…

It is no secret that traditional platforms for data analysis, like data warehouses, are difficult and expensive to scale, to meet the current data demands for storage and compute. And purpose-built platforms designed to process big data often require significant up-front and on-going investment if deployed on-premise. Alternatively, cloud computing…