Spark经典论文合集

[{"title":"（ 11 个子文件 18.02MB ） Spark经典论文合集","children":[{"title":"Spark经典论文合集_1625500849\\spark","children":[{"title":"Resilient Distributed Datasets A Fault-Tolerant Abstraction for In-Memory Cluster Computing.pdf <span style='color:#111;'> 865.54KB </span>","children":null,"spread":false},{"title":"GraphX Unifying Data Parallel and Graph Parallel.pdf <span style='color:#111;'> 502.07KB </span>","children":null,"spread":false},{"title":"Spark SQL Relational Data Processing in Spark.pdf <span style='color:#111;'> 508.05KB </span>","children":null,"spread":false},{"title":"Spark Cluster Computing with Working Sets.pdf <span style='color:#111;'> 205.21KB </span>","children":null,"spread":false},{"title":"Shark Fast Data Analysis Using Coarse-grained Distributed Memory.pdf <span style='color:#111;'> 535.93KB </span>","children":null,"spread":false},{"title":"spark.pdf <span style='color:#111;'> 8.94MB </span>","children":null,"spread":false},{"title":"An Architecture for Fast and General Data Processing on Large Clusters.pdf <span style='color:#111;'> 2.05MB </span>","children":null,"spread":false},{"title":"大型集群上的快速和通用数据处理架构.pdf <span style='color:#111;'> 5.53MB </span>","children":null,"spread":false},{"title":"Discretized Streams An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters.pdf <span style='color:#111;'> 264.89KB </span>","children":null,"spread":false},{"title":"Shark SQL and Rich Analytics at Scale.pdf <span style='color:#111;'> 649.93KB </span>","children":null,"spread":false},{"title":"Discretized Streams Fault-Tolerant Streaming Computation at Scale.pdf <span style='color:#111;'> 739.02KB </span>","children":null,"spread":false}],"spread":false},{"title":"Spark经典论文合集_1625500849","children":null,"spread":false}],"spread":true}]