RCFile: A fast and space-efficient data placement structure in MapReduce-based warehouse systems
By Yongqiang He, Rubao Lee, Yin Huai, Zheng Shao, Namit Jain, Xiaodong Zhang, Zhiwei Xu. 2011
301 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ion Stoica
- Scott Shenker
- Matei A. Zaharia
- M. Franklin
- Nadine Cullot
- Christophe Nicolle
- C. Emani
- Antonio Lupher
In Information Systems
- Ion Stoica
- Matei A. Zaharia
- Scott Shenker
- M. Franklin
- Nadine Cullot
- Christophe Nicolle
- C. Emani
- Antonio Lupher
In Signal Processing
- M. Franklin
- Matei A. Zaharia
- Scott Shenker
- Nadine Cullot
- Christophe Nicolle
- C. Emani
- Reynold Xin
- Ion Stoica
Citations in the corpus
- A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics (2018, background): “Processes for extracting insights from big data Data Acquisition: Timeliness is one of the important requirement while data loading [10].”
- Shark: fast data analysis using coarse-grained distributed memory (2012, background): “For Hive, RCFile’s primary benefit is due to the additional compression that can be applied, rather than any performance benefit in lazily materializing rows [22].”
- Big Data Analytics: A Literature Review Paper (2014, unknown): “Asbig data sets are analyzed by different applications and users, for various purposes,and in various ways, the underlying system should be highly adaptive to unexpecteddynamics in processing, and not specific to certain workload patterns [10].”
- Understandable Big Data: A survey (2015, background): “– RCFile (Record Columnar File) [24], a data placement structure for structured data.”