Data Silos
Data silos refer to isolated repositories of data within an organization that are not easily accessible or integrated with other systems. They typically arise when departments or teams use separate databases, applications, or storage solutions without proper data-sharing mechanisms. This fragmentation can lead to inefficiencies, data inconsistencies, and missed opportunities for analysis.
Developers should understand data silos to design systems that prevent their formation, such as by implementing centralized data warehouses, APIs, or data integration tools. This is crucial in scenarios like building enterprise applications, data analytics platforms, or microservices architectures where seamless data flow is essential. Addressing silos improves data quality, supports business intelligence, and enhances operational efficiency.