[wpalma@www.inf.ucv.cl bigData]$  ls

  • Programa de la asignatura
    • Apuntes
  • Intro: MapReduce
  • Intro: MapReduce (cont.)
  • MapReduce and Parallel DBMS
  • Mapreduce: Hadoop
  • Hadoop: developing apps
  • Pig
  • Data Streams Management Systems
  • Query processing (repaso)
  • DSMS: query operators (join)
  • DSMS: sliding windows - CQL
    • Tareas
  • Paper: An Efficient Mapreduce Algorithm for Counting Triangles in a Very Large Graph
  • Triangle Listing in Massive Networks and Its Applications (en la pagina 3 encuentran el algoritmo basico de triangulos - Algorithm 1 In-Memory Triangle Listing)
    • Papers
  • Energy Management for MapReduce Clusters (Esteban Pavez)
  • Joins for Hybrids Warehouses: Exploiting Massive Parallelism in Hadoop and Enterprise Data Warehouses
  • Processing Interval Joins on MapReduce (Mauricio Rojas)
  • IBM InfoSphere Streams for Scalable, Real-Time, Intelligent Transportation Services (Carlos Mujica)
  • SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures (Patricia Munoz)
    • Lecturas
  • MapReduce: Simplified Data Processing on Large Clusters
  • MapReduce: A Flexible Data Processing Tool