史上最全的“大数据”学习资源（下）(4)

2011 – 2012

• ??2012?–?Twitter?– The Unified Logging Infrastructure for Data Analytics at Twitter.?(Twitter数据分析的统一日志基础结构)
• ??2012?–?AMPLab?–Blink and It’s Done: Interactive Queries on Very Large Data.?(Blink及其完成：超大规模数据的交互式查询)
• ??2012?–?AMPLab?–Fast and Interactive Analytics over Hadoop Data with Spark.?(Spark上?Hadoop数据的快速交互式分析)
• ??2012?–?AMPLab?–Shark: Fast Data Analysis Using Coarse-grained Distributed Memory.?(Shark：使用粗粒度的分布式内存快速数据分析)
• ??2012?–?Microsoft?–Paxos Replicated State Machines as the Basis of a High-Performance Data Store.?(Paxos的复制状态机——高性能数据存储的基础)
• ??2012?–?Microsoft?–Paxos Made Parallel.?(Paxos算法实现并行)
• ??2012?–?AMPLab?– BlinkDB：BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data.(超大规模数据中有限误差与有界响应时间的查询)
• ??2012?–?Google?–Processing a trillion cells per mouse click.(每次点击处理一兆个单元格)
• ??2012?–?Google?–Spanner: Google’s Globally-Distributed Database.(Spanner：谷歌的全球分布式数据库)
• ??2011?–?AMPLab?–Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters.(Scarlett：应对MapReduce集群中的偏向性内容)
• ??2011?–?AMPLab?–Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center.(Mesos：数据中心中细粒度资源共享的平台)
• ??2011?–?Google?–Megastore: Providing Scalable,Highly Available Storage for Interactive Services.(Megastore：为交互式服务提供可扩展,高度可用的存储)

2001 – 2010

• ??2010?–?Facebook?–?Finding a needle in Haystack: Facebook’s photo storage.(探究Haystack中的细微之处：?Facebook图片存储)
• ??2010?–?AMPLab?–?Spark: Cluster Computing with Working Sets.(Spark:工作组上的集群计算)
• ??2010?–?Google?– Storage Architecture and Challenges.(存储架构与挑战)
• ??2010?–?Google?– Pregel: A System for Large-Scale Graph Processing.(Pregel: 一种大型图形处理系统)
• ??2010?–?Google?– Large-scale Incremental Processing Using Distributed Transactions and Noti?cations base of Percolator and Caffeine.(使用基于Percolator 和?Caffeine平台分布式事务和通知的大规模增量处理)
• ??2010?–?Google?– Dremel: Interactive Analysis of Web-Scale Datasets.(Dremel: Web规模数据集的交互分析)
• ??2010?–?Yahoo?–?S4: Distributed Stream Computing Platform.(S4:分布式流计算平台)
• ??2009?– HadoopDB：An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads.(混合MapReduce和DBMS技术用于分析工作负载的的架构)
• ??2008?–?AMPLab?– Chukwa: A large-scale monitoring system.(Chukwa: 大型监控系统)
• ??2007?–?Amazon?– Dynamo: Amazon’s Highly Available Key-value Store.(Dynamo: 亚马逊的高可用的关键价值存储)
• ??2006?–?Google?– The Chubby lock service for loosely-coupled distributed systems.(面向松散耦合的分布式系统的锁服务)
• ??2006?–?Google?– Bigtable: A Distributed Storage System for Structured Data.(Bigtable: 结构化数据的分布式存储系统)
• ??2004?–?Google?– MapReduce: Simplied Data Processing on Large Clusters.(MapReduce: 大型集群上简化数据处理)
• ??2003?–?Google?– The Google File System.(谷歌文件系统)

视频

数据可视化

• ??数据可视化之美
• ??Noah Iliinsky的数据可视化设计
• ??Hans Rosling’s 200 Countries,200 Years,4 Minutes
• ??冰桶挑战的数据可视化

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