We have experienced faculty from the best Institutes in Australia/USA/LONDON/CANADA (IIM, IIT, XLRI, etc.), who along with the Professors, Management Gurus and Professional Trainers across the globe, helps us in designing a course that is beneficial to a company’s current need. We offer an array of training courses that has been designed based on market research and industry interactions. This keeps the quality of training content, training execution and training benefits to be world class.
Meet and Greet students – OnlineHadoop Setup – SupportClusterstogo.com – OverviewDay 1: Big Data, HDFS and MapReduce Primer
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Meet and Greet students – OnlineHadoop Setup – SupportClusterstogo.com – OverviewDay 1: Big Data, HDFS and MapReduce Primer
Intro to Hadoop
Parallel Computer vs. Distributed ComputingBrief history of HadoopRDBMS vs. HadoopHadoop Cluster ArchitectureHadoop Daemons introduction: NameNode, DataNode, JobTracker, TaskTrackerIntro to the Hadoop ecosystem: HDFS, MapReduce, Pig, Hive, HBase, ZooKeeperVendor ComparisonHardware and Software recommendationsLab #1: Hadoop Installation based on CDH4 and SCM 4.6, Hadoop cluster specific operations and sample job executionDeep Dive HDFS
Linux File system optionsSample HDFS commandsData LocalityRack AwarenessWrite PipelineRead PipelineNameNode architectureSecondary NameNode architectureDataNode architectureHeartbeatsBlock ScannerFSCKBalancerName Node HA
MapReduce
MapReduce Gen1 ArchitectureJobTracker/TaskTrackerCombiner and shuffleCountersSpeculative ExecutionJob Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)LAB #3: Sample Map Reduce Job ExecutionDay 2: Introduction to Hadoop Ecosystem
Real-time I/O with HBase
HBase backgroundHBase ArchitectureHBase core conceptsHBase vs. RDBMSHBase Master and Region ServersData ModelingColumn Families and RegionsBloom Filters and Block IndexesWrite Pipeline / Read PipelineCompactionsPerformance TuningHBase GeoRedundancy, DR and SnapshotsLAB #4: Use HBase CLI to create databases and tune them.
Data Analytics via Hive.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.or full course details please visit our website www.hadooponlinetraining.net Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
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