In-Memory Analytics
Business Analytics, Thursday, January 25th, 2024
In-memory analytics is an approach to querying data that resides in a computer's random access memory (RAM) as opposed to querying data that is stored on physical drives.
Doing this results in vastly shortened query response times, allowing business intelligence (BI) and analytic applications to support faster business decisions.
In conventional data processing, data is stored on a hard disk and then called into the RAM when required. It is then processed by the CPU, which generates the required outputs. The problem with this method, which has been in use for years, is that it can be slow. The seek time that passes between calling the data from the hard disk and making it available to the CPU can become a bottleneck for modern-day analytics applications that require low latency and fast data access.