Data on Disk

In real world applications, tables can get very large in size. For example, the daily average number of trades executed on the New York Stock Exchange is roughly 2 billion. 

Manufacturing and IOT use cases can have much larger data volumes, with an IOT sensor having as many as 100,000 events per second. 

kdb+ and q offer a number of different methods to store tables which allows for efficient storage and querying, even over many days or years of high data volumes. 

The PowerPoint deck used in the video can be found under the Materials tab at the top of the page.