fxjwind

摘要： Apache Spark 2.0: Faster, Easier, and Smarter http://blog.madhukaraphatak.com/categories/spark-two/ https://amplab.cs.berkeley.edu/technical-preview-of-apache-spark-2-0-easier-faster-and-smarter/ ... 阅读全文

摘要： https://www.quora.com/How-does-MemSQL-compare-to-VoltDB mark 阅读全文

摘要： 理解 chroot Docker终极指南 Docker背后的内核知识——Namespace资源隔离 Docker背后的内核知识——cgroups资源限制 Docker背后的容器管理——Libcontainer深度解析 Mark 阅读全文

摘要： Amazon’s Dynamo [9] and Facebook’s Cassandra [13], relax the consistency model，and offer only eventual consistency. Others such as HBase [1] and BigTable [4] offer strong consistency only for operat... 阅读全文

摘要： Example Program The following program is a complete, working example of streaming window word count application, that counts the words coming from a w 阅读全文

摘要： Kudu White Paper http://www.cloudera.com/documentation/betas/kudu/0-5-0/topics/kudu_resources.html http://getkudu.io/overview.html Kudu is a new stora 阅读全文

摘要： https://cwiki.apache.org/confluence/display/FLINK/Flink+Internals Memory Management (Batch API) Introduction Memory management in Flink serves the purpose to control how much memory certain runt... 阅读全文

摘要： https://flink.apache.org/news/2015/09/16/off-heap-memory.html Running data-intensive code in the JVM and making it well-behaved is tricky. Systems that put billions of data objects naively onto th... 阅读全文

摘要： http://flink.apache.org/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html Join Processing in Apache Flink In this blog post, we cut through Apache Flink’s layered architecture and take ... 阅读全文

摘要： http://www.36dsj.com/archives/33650 http://flink.apache.org/news/2015/05/11/Juggling-with-Bits-and-Bytes.html http://www.bigsynapse.com/addressing-big-data-performance ，addressing-big-data-performan... 阅读全文