Optimizing under HBase involves various techniques to improve the performance of HBase, a distributed NoSQL database. This can include tuning the HBase configuration parameters, optimizing the hardware infrastructure, using compression techniques to reduce storage requirements, and implementing data modeling best practices. Additionally, proper indexing, caching, and load balancing can help improve query performance and reduce response times. It is essential to monitor the HBase cluster regularly and analyze its performance metrics to identify potential bottlenecks and optimize accordingly.
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