Sivasoft-ONLINE-HADOOP-ADMINSTRATION-Training-Course-in-ameerpet-hyderabad-india

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SivaSoft (Training & Development) is An ISO 9001:2008 CERTIFIED Company and Expertise in classroom (Regular, weekend, workshop) & online training with real-time (industry experts) trainers.

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Sivasoft-ONLINE-HADOOP-ADMINSTRATION-Training-Course-in-ameerpet-hyderabad-india

  1. 1. Online Hadoop Administration DURATION : 45hrs FACULTY : Mr.SRIKAR CLASSES PER WEEK : 5 DAYS(1 hour per day) FREE RESOURCES COURSE MATERIAL COURSE RESOURCES HADOOP INTERVIEW QUESTIONS & GUIDANCE FOR HADOOP DEVELOPMENT COURSE : Click here Hadoop Admin  How the Hadoop Distributed File System and Map Reduce work  What hardware configurations are optimal for Hadoop clusters  How to configure Hadoop’s options for best cluster performance  How to configure NameNode High Availability  How to configure NameNode Federation  How to configure the FairScheduler to provide service-level agreements for multiple users of a cluster  How to install and implement Kerberos-based security for your cluster  How to load data into the cluster from dynamically-generated files using Flume, and from relational database management systems using Sqoop  What system administration issues exist with other Hadoop projects such as Hive, Pig, and HBase Introduction  A brief history of Hadoop  Core Hadoop components  Fundamental concepts
  2. 2. The Hadoop Distributed File System  HDFS features  HDFS design assumptions  Overview of HDFS architecture  Writing and reading files  NameNode considerations  An overview of HDFS security MapReduce  What is MapReduce?  Features of MapReduce  Basic MapReduce concepts  Architectural overview  Failure recovery Hadoop Ecosystem  What is the Hadoop ecosystem?  Integration tools  Analysis tools  Data storage and retrieval tools  Hive  Hbase  Sqoop  Zookeeper  Pig Hadoop Cluster prerequisites  General planning considerations  Choosing the right hardware  Network considerations  Configuring nodes
  3. 3. Hadoop Installation  Installing Hadoop  Basic configuration parameters  Advanced Configuration Advanced parameters  Configuring rack awareness  Configuring Federation  Configuring High Availability Managing and Scheduling Jobs  Managing running jobs  The FIFO Scheduler  The FairScheduler Cluster Maintenance  Checking HDFS status  Copying data between clusters  Adding and removing cluster nodes  Rebalancing the cluster  NameNode Metadata backup  Cluster upgrading Populating HDFS from External Sources  An overview of Flume  An overview of Sqoop

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