Data and Business Intelligence Glossary Terms

Elastic Compute

Elastic Compute refers to the ability of computing resources to be scaled up or down easily based on the demand at any given time. It’s like having a pool that can automatically expand when more people want to swim and shrink when fewer people are around, helping you save water and space. In business intelligence and data analytics, elastic compute allows businesses to handle large volumes of data efficiently by providing the right amount of computing power when it’s needed.

For instance, during a major sale or marketing campaign, a company’s website might experience a sudden spike in traffic. With elastic compute, their servers can automatically adjust to handle the increased load, ensuring the site doesn’t crash and providing a smooth experience for customers. Once the traffic spike is over, the compute resources can be scaled back down to save on costs.

Elastic compute is vital for businesses because it provides flexibility and cost-efficiency. Instead of paying for a constant level of high computing power that they might not always need, companies can scale resources to match their current demands. This adaptable approach to computing helps businesses stay agile, allowing them to manage data workloads and analytics with greater efficiency and respond to market changes quickly.


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