Koolituse üksikasjad
Koolituskava
1 - Introduction
Hadoop history and conceptsEcosystemDistributionsHigh level architectureHadoop mythsHadoop challenges (hardware / software)
2 - Planning and installation
Selecting software and Hadoop distributionsSizing the cluster and planning for growthSelecting hardware and networkRack topologyInstallationMulti-tenancyDirectory structure and logsBenchmarking
3 - HDFS operations
Concepts (horizontal scaling, replication, data locality, rack awareness)Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, DataNode)Health monitoringCommand-line and browser-based administrationAdding storage and replacing defective drives
4 - MapReduce operations
Parallel computing before MapReduce: compare HPC versus Hadoop administrationMapReduce cluster loadsNodes and Daemons (JobTracker, TaskTracker)MapReduce UI walk throughMapReduce configurationJob configJob schedulersAdministrator view of MapReduce best practicesOptimizing MapReduceFool proofing MR: what to tell your programmersYARN: architecture and use
5 - Advanced topics
Hardware monitoringSystem software monitoringHadoop cluster monitoringAdding and removing servers and upgrading HadoopBackup, recovery, and business continuity planningCluster configuration tweaksHardware maintenance scheduleOozie scheduling for administratorsSecuring your cluster with KerberosThe future of Hadoop
Tegelik kursuse kava võib olenevalt pakkumiskeskusest erineda. Lisateabe saamiseks pöörduge oma müügiesindaja poole.
Kellele see on mõeldud?
Sihtrühm
This is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required.
Muud eeldused
This is an introductory-level course designed to teach experienced systems administrators how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required.
Next-Steps / Follow on Training: We offer a wide variety of Big Data, Analytics, Data Science, Hadoop, AI / Machine Learning, Python / R / Scala / Java Programming and other related courses that can advance your skills to the next level after this course. Please see our Big Data Training Suite course list for details, or please inquire for next step recommendations for follow on courses or Learning Plan options based on your role and goal.