In an organization shifting towards real-time data integration, what challenges might arise and how can they be addressed?
- Data Backups, Batch Processing, Data Warehousing, Data Migration
- Data Governance, Data Quality, Database Indexing, Data Replication
- Data Latency, Increased Complexity, Infrastructure Costs, Skill Set Gaps
- User Interface Design, Front-End Development, Cloud Computing, Data Visualization
Shifting towards real-time data integration may pose challenges such as data latency, increased complexity, infrastructure costs, and skill set gaps. Addressing these challenges involves implementing efficient data processing systems, optimizing infrastructure, and providing necessary training to the workforce. Ensuring a balance between real-time processing needs and associated challenges is essential for success.
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