Post by Admin on Mar 14, 2014 2:18:29 GMT
Advantages of Hadoop distributed file system (HDFS):
1.HDFS shore large amount of information.
2. That is simple and robust coherency model.
3. That is it should store reliability.
4. HDFS is scalable and fast access to this information and it also possible to serve large number of
clients by simply adding more machines to the cluster.
5.HDFS should integrate well with HADOOP map reduce ,allowing data to be read and computed
upon locally when possible.
6. HDFS providing streaming read performance.
7. Data will be written to the ------- once and then read several times.
8. The overhead of cashing is helps simply be re-read form HDFS source.
9. Fault-tolerance by detecting faults and applying
Quick , automatic recovery.
10.Processing logic close to the data ,rather than the data close to the processing logic.
11.Protability across heterogeneous commodity hardware and operating systems.
12. Economy by distributing data and processing across clusters of commodity personal computers.
13 Efficiency by distributing data and logic to process it in parallel on nodes where data is located
14. Reliabity by data automatically maintaining multiple copies of data and automatically redeploying
1.HDFS shore large amount of information.
2. That is simple and robust coherency model.
3. That is it should store reliability.
4. HDFS is scalable and fast access to this information and it also possible to serve large number of
clients by simply adding more machines to the cluster.
5.HDFS should integrate well with HADOOP map reduce ,allowing data to be read and computed
upon locally when possible.
6. HDFS providing streaming read performance.
7. Data will be written to the ------- once and then read several times.
8. The overhead of cashing is helps simply be re-read form HDFS source.
9. Fault-tolerance by detecting faults and applying
Quick , automatic recovery.
10.Processing logic close to the data ,rather than the data close to the processing logic.
11.Protability across heterogeneous commodity hardware and operating systems.
12. Economy by distributing data and processing across clusters of commodity personal computers.
13 Efficiency by distributing data and logic to process it in parallel on nodes where data is located
14. Reliabity by data automatically maintaining multiple copies of data and automatically redeploying