In general terms, partitioning is logically dividing anything into multiple subgroups so that each subgroup can be identified independently and can be combined into a single partition.
Let's now learn different partitioning methods and how partitioning can help where there are large data tables.
For any organization, it is very important to store data in such a way that the database provides scalability, performance, availability, and security. For instance, in a highly accessed e-commerce store, there are thousands, or more, of orders placed frequently. So to maintain day-to-day order delivery showing a dashboard of current orders, what is required is to query a table showing orders from the past five years; the process will take a long time to execute with the current data. Here, historical order data is needed for the analytical purpose...