HADOOP TECHNOLOGY ppt

HADOOP TECHNOLOGY ppt

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  Technical Seminar on HADOOP TECHNOLOGY Underthe Guidance of P.V.R.K.MURTHY, M.Tech Assistant Professor
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  What is hadoopTechnology?? Why hadoop? Developers of hadoop Technology Famous hadoop users Hadoop Features Hadoop Architectures Core-Components of Hadoop Hadoop High Level Architechture Hadoop cluster CONTENTS
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  What is HDFS HDFS– Name Node features: HDFS-name node architecture HDFS-data node Hadoop MAPREDUCE Benefits of Hadoop… Conclusion Reference CONTENTS…
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  HADOOP TECHNOLOGY What isHadoop Technology?? •The most well known technology used for Big Data is Hadoop. •It is actually a large scale batch data processing system
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  Why Hadoop ?? •Distributedcluster system •Platform for massively scalable applications •Enables parallel data processing
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  Developers of HadoopTechnology: Michael j. cafarella Doug cutting
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  Famous Hadoop users
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  Hadoop Features •Hadoop providesaccess to the file systems • The Hadoop Common package contains the necessary JAR files and scripts •The package also provides source code, documentation and a contribution section that includes projects from the Hadoop Community.
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  HADOOPARCHITECTURE
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  Core-Components of Hadoop: Hadoopdistributive file system. Map reduce.
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  What is HDFS? •Distributed file system •Traditional hierarchical file organization •Single namespace for the entire cluster •Write-once-read-many access model •Aware of the network topology
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  Hadoop High LevelArchitechture
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  Hadoop cluster •A SmallHadoop Cluster Include a single master & multiple worker nodes Master node: Data Node Job Tracker Task Tracker Name Node Slave node: Data Node Task Tracke
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  HDFS – NameNode Features Metadata in main memory: •List of files •List of blocks for each file •List of Data Nodes for each block •File attributes •Creation time •Records every change in the metadata
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  HDFS-name node architecture Secondaryname node 3.Store to HDD Primary name-node RAM HDD RAM HDD 1. Pull transaction log 4.Push 2. Merge changes
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  HDFS-Data node •Block ServerStores data in the local file system •Periodic validation of checksums •Periodically sends a report of all existing blocks to the Name Node
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  Hadoop MAPREDUCE Job Tracker: Splittinginto map and reduce tasks Scheduling tasks on a cluster node Task Tracker: Runs Map Reduce tasks periodically Map reduce implementation:
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  Benefits of Hadoop… •CostSaving and efficient and reliable data processing •Provides an economically scalable solution •Storing and processing of large amount of data •Data grid operating system •It is deployed on industry standard servers rather than expensive specialized data storage systems. • Parallel processing of huge amounts of data across inexpensive, industry-standard servers.
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  Why commodity hw? because cheaper designed to tolerate faults Why HDFS ? network bandwidth vs seek latency Why Map reduce programming model? parallel programming large data sets moving computation to data single compute + data cluster CONCLUSION
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  REFERENCES •Apache Hadoop! (http://hadoop.apache.org) •Hadoop onWikipedia (http://en.wikipedia.org/wiki/Hadoop) •Cloudera - Apache Hadoop for the Enterprise (http://www.cloudera.com