database-scaling

Vocabulary Word

Definition
'Database-scaling' refers to increasing the capacity of a database system to handle more data and process it faster. It could mean many things, like upgrading the system's software, buying more powerful hardware, or spreading the data across many computers.
Examples in Different Contexts
In big data, 'database-scaling' is essential for handling vast amounts of data across distributed systems. A big data analyst might explain, 'Effective database-scaling strategies are vital for processing and analyzing petabytes of data in real-time.'
Practice Scenarios
Startup

Scenario:

With the new updates, we anticipate a surge in user signups. We need to gear up our backend to handle it.

Response:

Absolutely, planning the database scaling now will stave off potential performance issues when the new user signups come in.

Tech

Scenario:

The user base is expected to double by the next quarter. We need to ensure our infrastructure is prepared for the load spike.

Response:

To handle the expected data traffic, it might be wise to preemptively start database scaling techniques.

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