What Challenges Do Businesses Face with Data Intensive Applications?
Despite their benefits, implementing data intensive applications comes with several challenges:
Data Quality: Ensuring the accuracy, consistency, and reliability of data is critical for effective analysis. Data Security: Protecting sensitive data from breaches and cyber-attacks is a top priority. Integration: Integrating data from multiple sources can be complex and time-consuming. Scalability: As data volumes grow, businesses need scalable solutions to handle increasing workloads. Cost: Implementing and maintaining data intensive applications can be expensive, requiring significant investment in technology and expertise.