Main Reference PaperContent-aware Partial Compression for Textual Big Data Analysis in Hadoop, IEEE Transactions on Big Data, June 2017 [Java/Hadoop].
  • Content-aware compression scheme RaPC is proposed that considers data content, computational model and analytics platform to improve performance and reduce resource requirements in big data analysis in distributed environment.

+ Description
  • Content-aware compression scheme RaPC is proposed that considers data content, computational model and analytics platform to improve performance and reduce resource requirements in big data analysis in distributed environment.

  • To save storage space and reduce data transmission cost over the network in big data analysis using compression.

  • To effectively deal the compression with content awareness.

+ Aim & Objectives
  • To save storage space and reduce data transmission cost over the network in big data analysis using compression.

  • To effectively deal the compression with content awareness.

  • Compression scheme is improved further through effective block based index maintenance technique.

+ Contribution
  • Compression scheme is improved further through effective block based index maintenance technique.

  • Java JDK 1.8, MySQL 5.5.40,¬†Hadoop 1.2.1.

  • Netbeans 8.0.1, & J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40,¬†Hadoop 1.2.1.

  • Netbeans 8.0.1, & J2EE.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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