Fri, 2016-04-29 08:22Nishant Vyas
Relational databases store data in rows because a typical SQL query looks for multiple fields within a record. For example, if you ask for name, zip code and email address of all your customers in New York, the result is presented in rows, with each row containing several fields from a single record. Row structures are also well optimized to handle a lot of inserts and updates.
But analytic queries are better handled with a column structure because they are more likely to go deep on a column of data, most queries relate only to a tiny subset of all the available columns and they’re also mostly read-only. For example, …[Read more...]