Validating Data Integrity Across APIs, Databases, and Frontends Manually
Data Integrity Validation: Ensuring Accurate and Reliable Data Across System In today’s digital applications, data flows continuously between user interfaces (UI), APIs, and databases. Any mismatch or corruption in this flow can lead to incorrect reports, security risks, and loss of user trust. This is where Data Integrity Validation plays a critical role. Data integrity […]
Verifying API Responses Manually: Using Postman, Swagger, and Charles for Accuracy
API response verification is the process of inspecting the data returned by an API to ensure it is accurate, complete, well-formed, and meets the expected functionality and security standards. This is a crucial step in API testing to confirm that the API is working as designed and to catch potential issues early in the development […]
Aligning Business Vision with Data and AI Roadmaps
Aligning the business vision with data and AI roadmaps refers to the strategic process of ensuring that an organization’s data and AI initiatives directly support and drive its long-term goals, mission, and competitive strategy. Integrating the organization’s overarching business objectives with the planning, development, and implementation of data and AI capabilities, so that every investment […]