For a use case requiring high throughput and low latency data access, how would you configure HBase?
- Adjust Write Ahead Log (WAL) settings
- Enable Compression
- Implement In-Memory Compaction
- Increase Block Size
In scenarios requiring high throughput and low latency, configuring HBase for in-memory compaction can be beneficial. This involves keeping more data in memory, reducing the need for disk I/O and enhancing data access speed. It's particularly effective for read-heavy workloads with a focus on performance.
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