1.kafka 配置参数
https://www.cnblogs.com/alan319/p/8651434.html
2,kafka 原理架构:
https://www.jianshu.com/p/4bf007885116
2.ceph 参数和原理:
https://www.jianshu.com/p/cc3ece850433
https://www.cnblogs.com/druex/articles/7017462.html
3.TensorFLow 方法
https://www.cnblogs.com/motao9527/p/10266046.html
3.1 架构原理:
https://blog.youkuaiyun.com/qq_30262201/article/details/79106198
4.kylin
kylin 参数:
kylin.engine.mr.base-cuboid-config-override.mapreduce.map.memory.mb=16384
kylin.engine.mr.base-cuboid-config-override.mapreduce.map.java.opts=-Xmx14746m -XX:MaxDirectMemorySize=1024M
kylin.engine.mr.base-cuboid-config-override.mapreduce.reduce.memory.mb=32768
kylin.engine.mr.base-cuboid-config-override.mapreduce.reduce.java.opts=-Xmx29491m -XX:MaxDirectMemorySize=1638M
kylin.storage.hbase.region-cut-gb=1
kylin.storage.hbase.max-region-count=100
kylin.storage.hbase.min-region-count=2
kylin 架构:
https://blog.youkuaiyun.com/cjlion/article/details/82907074
5.数据挖掘
参数配置:
https://my.oschina.net/editorial-story/blog/874093
数据挖掘工作平台 Weka
https://www.oschina.net/p/weka
BI平台。
本文深入探讨了Kafka、TensorFlow、Kylin等大数据技术的配置参数与架构原理,覆盖消息传递、深度学习、OLAP查询优化等核心领域,旨在帮助读者全面理解大数据生态。
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