The separation of storage and compute [Q&A]

Business intelligence and analytic projects have traditionally been based on the concept of the enterprise data warehouse, which saw compute and storage combined in a monolithic platform to achieve the performance required for high-performance analytics. More recently, the trend has been toward data lakes, but this was similarly based on the approach of putting all data in a single environment -- initially Hadoop -- for storage and analysis. We spoke with Justin Borgman, CEO for Starburst Data, on why he believes the separation of storage and compute in the data processing and analytics sector is a trend that will continue… [Continue Reading]