HADOOP TECHNOLOGY ppt
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The document provides an overview of Hadoop technology, highlighting its features, architecture, components, and benefits for big data processing. It discusses the role of Hadoop in distributed data processing, its high-level architecture, and the specifics of the Hadoop Distributed File System (HDFS). Additionally, it emphasizes the advantages of using Hadoop for cost-effective and scalable data solutions.
HADOOP TECHNOLOGY ppt
- 1. Technical Seminar on HADOOP TECHNOLOGY Under the Guidance of P.V.R.K.MURTHY, M.Tech Assistant Professor
- 2. What is hadoop Technology?? Why hadoop? Developers of hadoop Technology Famous hadoop users Hadoop Features Hadoop Architectures Core-Components of Hadoop Hadoop High Level Architechture Hadoop cluster CONTENTS
- 3. What is HDFS HDFS – Name Node features: HDFS-name node architecture HDFS-data node Hadoop MAPREDUCE Benefits of Hadoop… Conclusion Reference CONTENTS…
- 4. HADOOP TECHNOLOGY What is Hadoop Technology?? •The most well known technology used for Big Data is Hadoop. •It is actually a large scale batch data processing system
- 5. Why Hadoop ?? •Distributed cluster system •Platform for massively scalable applications •Enables parallel data processing
- 6. Developers of Hadoop Technology: Michael j. cafarella Doug cutting
- 8. Hadoop Features •Hadoop provides access 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.
- 10. Core-Components of Hadoop: Hadoop distributive file system. Map reduce.
- 11. 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
- 12. Hadoop High Level Architechture
- 13. Hadoop cluster •A Small Hadoop Cluster Include a single master & multiple worker nodes Master node: Data Node Job Tracker Task Tracker Name Node Slave node: Data Node Task Tracke
- 14. HDFS – Name Node 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
- 15. HDFS-name node architecture Secondary name node 3.Store to HDD Primary name-node RAM HDD RAM HDD 1. Pull transaction log 4.Push 2. Merge changes
- 16. HDFS-Data node •Block Server Stores data in the local file system •Periodic validation of checksums •Periodically sends a report of all existing blocks to the Name Node
- 17. Hadoop MAPREDUCE Job Tracker: Splitting into map and reduce tasks Scheduling tasks on a cluster node Task Tracker: Runs Map Reduce tasks periodically Map reduce implementation:
- 18. Benefits of Hadoop… •Cost Saving 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.
- 19. 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
- 20. REFERENCES •Apache Hadoop! (http://hadoop.apache.org) •Hadoop on Wikipedia (http://en.wikipedia.org/wiki/Hadoop) •Cloudera - Apache Hadoop for the Enterprise (http://www.cloudera.com