bigdata-charmers

Bundles (30)

  • Name
    Charms
    Units
    Owner
  • apache analytics pig

     

    6

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 723 deploys
    • 5 services
    • 6 units
    • 6 machines
  • apache analytics pig

     

    7

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 697 deploys
    • 6 services
    • 7 units
    • 7 machines
  • apache analytics sql

     

    7

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 808 deploys
    • 6 services
    • 7 units
    • 7 machines
  • apache analytics sql

     

    8

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 725 deploys
    • 7 services
    • 8 units
    • 8 machines
  • apache core batch processing

     

    13

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 304 deploys
    • 11 services
    • 13 units
    • 13 machines
  • apache core batch processing

     

    7

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 262 deploys
    • 6 services
    • 7 units
    • 7 machines
  • apache hadoop spark

     

    6

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 242 deploys
    • 5 services
    • 6 units
    • 6 machines
  • apache hadoop spark notebook

     

    6

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 142 deploys
    • 6 services
    • 6 units
    • 6 machines
  • apache hadoop spark zeppelin

     

    6

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 852 deploys
    • 6 services
    • 6 units
    • 6 machines
  • apache ingestion kafka

     

    11

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 110 deploys
    • 8 services
    • 11 units
    • 11 machines
    • Owner: bigdata-charmers
    • 550 deploys
    • 11 services
    • 13 units
    • 13 machines
    Description
    MapReduce is a software framework for easily writing applications which process vast amounts of data in-parallel on large clusters of machines.
  • apache processing spark

     

    8

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 110 deploys
    • 6 services
    • 8 units
    • 8 machines
  • data analytics with pig latin

     

    3

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 34 deploys
    • 3 services
    • 3 units
    • 3 machines
  • data analytics with sql like

     

    4

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 38 deploys
    • 4 services
    • 4 units
    • 4 machines
  • hadoop hbase

     

    14

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 82 deploys
    • 11 services
    • 14 units
    • 8 machines
  • hadoop hbase

     

    14

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 82 deploys
    • 11 services
    • 14 units
    • 8 machines
  • hadoop kafka

     

    14

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 448 deploys
    • 13 services
    • 14 units
    • 9 machines
  • hadoop kafka

     

    14

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 448 deploys
    • 13 services
    • 14 units
    • 9 machines
  • hadoop processing

     

    8

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 1140 deploys
    • 9 services
    • 8 units
    • 5 machines
  • hadoop processing

     

    8

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 1140 deploys
    • 9 services
    • 8 units
    • 5 machines
  • hadoop spark

     

    9

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 626 deploys
    • 10 services
    • 9 units
    • 5 machines
    Description
    This is a five unit big data cluster that includes Hadoop 2.7.3 and Spark 2.1 from Apache Bigtop. Use it to analyse batch data with MapReduce or streaming data with Spark. It will run on 5 machines in your cloud.
  • hadoop spark

     

    9

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 626 deploys
    • 10 services
    • 9 units
    • 5 machines
    Description
    This is a five unit big data cluster that includes Hadoop 2.7.3 and Spark 2.1 from Apache Bigtop. Use it to analyse batch data with MapReduce or streaming data with Spark. It will run on 5 machines in your cloud.
  • hdp core batch processing

     

    2

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 50 deploys
    • 2 services
    • 2 units
    • 2 machines
  • high performance batch processing

     

    3

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 36 deploys
    • 3 services
    • 3 units
    • 3 machines
  • kafka ingestion

     

    14

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 30 deploys
    • 13 services
    • 14 units
    • 9 machines
  • realtime analytics with storm

     

    5

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 40 deploys
    • 3 services
    • 5 units
    • 5 machines
  • realtime syslog analytics

     

    9

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 1079 deploys
    • 9 services
    • 9 units
    • 6 machines
    Description
    This is a five unit big data cluster that includes Hadoop 2.7.3 and other components from Apache Bigtop. By leveraging Rsyslog and Apache Flume, this bundle provides an environment for analysing syslog events in Apache Zeppelin web notebooks.
  • realtime syslog analytics

     

    9

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 1079 deploys
    • 9 services
    • 9 units
    • 6 machines
    Description
    This is a six unit big data cluster that includes Hadoop 2.7.3 and other components from Apache Bigtop. By leveraging Rsyslog and Apache Flume, this bundle provides an environment for analysing syslog events in Apache Zeppelin web notebooks.
  • spark processing

     

    7

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 556 deploys
    • 6 services
    • 7 units
    • 6 machines
  • spark processing

     

    7

    bigdata-charmers

    View
    • Owner: bigdata-charmers
    • 556 deploys
    • 6 services
    • 7 units
    • 6 machines

Charms (101)