FAQs

Decision-making analysis in big data involves applying statistical, predictive, and prescriptive analytics to assess potential outcomes and select the optimal solution for business challenges.

Big data enhances data and decision-making by collecting, processing, and analyzing the information to uncover patterns and correlations, enabling leaders to choose the most effective course of action.

The uses of big data analytics in business include identifying market trends, improving customer experiences, optimizing operations, and supporting innovation through data-driven strategies.

The importance of big data lies in its ability to provide accurate, real-time insights from massive datasets, helping organizations make strategic decisions effectively.

Wrap API calls in try...catch blocks, log errors, and display cached or fallback content when the live API is unavailable.

No. Store keys in Drupal’s Key module or settings.php to keep them secure and separate from your codebase.

Skipping proper caching and hitting API rate limits. This can slow your site or cause temporary outages with the external service.

Use a contributed module if one exists, is actively maintained, and meets your needs. Choose a custom build when you require unique logic, full control, or the API is too niche for existing modules.

Yes, if the API provides clear documentation and supports common data formats like JSON or XML, it can be integrated with Drupal using contributed modules or a custom-built solution.

Edge computing enables instant computing processing near data sources, reducing delays. This is crucial for applications needing real-time data processing, such as robotics and autonomous systems.