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發布時間:6/30/2014  瀏覽次數:827
課程名稱:Hadoop Workshop
課程編號:
性質與目標:This 1-day workshop provides hands-on exercise for audience to setup Apache Hadoop cluster from scratch. Audience can learn how to run MapReduce programs on a cluster of machines for parallel computing and how Apache Hadoop recovers from system failures. This workshop is particularly useful to those who are about to kick- start a Hadoop-based project or about to implement a proof-of- concept (POC) setup.
對象:Decision makers, IT managers, technical managers, software developers, data analysts who want to learn latest new technologies in handling massive and ever-growing data assets.
人數:10(每班)
授課語言:English
授課方式:ILT (Instructor-Led Training)
學時:8
授課導師:tbc
開課日期:tbc
授課地點:tbc
學費:MOP 4126.00
內容:
   Installing Hadoop and HDFS operations
-Install from CDH
-Format the NameNode
-Start and stop Hadoop daemons
-List the Hadoop daemons
-Test the Hadoop installation
   Running a MapReduce Job in pseudo-distributed mode
-Upload sample data to HDFS
-Run a MapReduce job
-View the output from the MapReduce job
-View the output from the Hadoop console
   Running a MapReduce Job in a clustered mode
-Configure the IP addresses and host names
-Configure the core site properties
-Configure the HDFS properties
-Configure the MapReduce properties
-Creating required Hadoop directories
-Setting the ownership for Hadoop directories
-Start the daemons for master node
-Start the daemons for slave node
-Test the Hadoop installation
   Managing Jobs
-List running jobs on the cluster
-Kill running jobs
   Breaking the Cluster
-Causing failures on Data Node
-Verifying the cluster
   Self-Healing Features of a Cluster
-Causing failures on Name Node
-Verifying the cluster

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