In a scenario where data is frequently updated, how should the BI tool be configured to ensure real-time data availability?
- Batch Processing, Data Aggregation, Data Deduplication, Data Archiving
- Data Compression, Data Encryption, Data Masking, Data Serialization
- Full Loading, Data Replication, Disk Caching, Data Indexing
- Incremental Loading, Change Data Capture, In-memory Processing, Data Partitioning
Configuring the BI tool for real-time data availability in a frequently updated scenario involves techniques like Incremental Loading, Change Data Capture, In-memory Processing, and Data Partitioning. These methods help capture and process changes efficiently.
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