Mirajkar et al., 2013 - Google Patents
Perform wordcount map-reduce job in single node apache hadoop cluster and compress data using lempel-ziv-oberhumer (lzo) algorithmMirajkar et al., 2013
View PDF- Document ID
- 307704670421398471
- Author
- Mirajkar N
- Bhujbal S
- Deshmukh A
- Publication year
- Publication venue
- arXiv preprint arXiv:1307.1517
External Links
Snippet
Applications like Yahoo, Facebook, Twitter have huge data which has to be stored and retrieved as per client access. This huge data storage requires huge database leading to increase in physical storage and becomes complex for analysis required in business growth …
- 238000003860 storage 0 abstract description 9
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30067—File systems; File servers
- G06F17/30129—Details of further file system functionalities
- G06F17/30144—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30575—Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
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- G—PHYSICS
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- G06F17/301—Details of searching files based on file metadata
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- G—PHYSICS
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- G—PHYSICS
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- G—PHYSICS
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- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
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- G—PHYSICS
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- G—PHYSICS
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- H—ELECTRICITY
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