Running with scissors: Fast queries on just-in-time databases

The amount of data collected in the last two years is higher than the amount of data collected since the dawn of time. Businesses are drowning in data, and need several months of ETL processing to barely prepare them for querying. Domain scientists collect data much faster than they can be transformed into valuable information and are often forced into hasty decisions on which parts to discard, potentially throwing away valuable data before it has been exploited fully. The reason is that query processing, which is the mechanism to squeeze information out of data, becomes slower as datasets grow larger. At the same time, the continuously increased number of hardware contexts ends up slowing processing down further, as keeping all cores busy with doing useful computation is difficult. Today's query engines cannot harness but a fraction of the potential of new hardware platforms.