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www.slideshare.net/larsgeorge
HBase is good a various workloads, ranging from sequential range scans to purely random access. These access patterns can be translated into application types, usually falling into two major groups: entities and events. This presentation discussed the underlying implications and how to approach those use-cases. Examples taken from Facebook show how this has been tackled in real life.Read less
The document discusses several key factors for optimizing HBase performance including: 1. Reads and writes compete for disk, network, and thread resources so they can cause bottlenecks. 2. Memory allocation needs to balance space for memstores, block caching, and Java heap usage. 3. The write-ahead log can be a major bottleneck and increasing its size or number of logs can improve write performanc
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