Role of Open Source Software in Big Data Storage

Today, the world is revolving around Big Data. Each organization is trying hard to explore ways for deriving value out of huge pile of data we are generating each moment. Open Source Software are widely being adopted by most academicians, researchers and industrialists to handle various Big Data needs because of their easy availability, flexibility, affordability and interoperability. As a result, several open source Big Data tools have been developed. This chapter discusses the role of Open Source Software in Big Data Storage and how various organizations have benefitted from its use. It provides an overview of popular Open Source Big Data Storage technologies existing today. Distributed File Systems and NoSQL databases meant for storing Big Data have been discussed with their features, applications and comparison.

• Publication year

  2021

• Venue

  Research Anthology on Usage and Development of Open Source Software

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.4018/978-1-5225-3142-5.CH005
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• New Horizons for a Data-Driven Economy

  2016cited by this paper
• The anatomy of big data computing

  2015cited by this paper
• Characterizing the GlusterFS distributed file system for software defined networks research

  2015cited by this paper
• Druid: a real-time analytical data store

  2014cited by this paper
• A Brief Review on Leading Big Data Models

  2014cited by this paper
• Analysis of Six Distributed File Systems

  2013cited by this paper
• Open-Source-Software (OSS)

  2013cited by this paper
• Graph Databases: New Opportunities for Connected Data

  2013cited by this paper
• Big Data For Dummies

  2013cited by this paper
• Open Source Software

  2006cited by this paper
• Proceedings of the 9th International Conference on Very Large Data Bases

  1983cited by this paper

• No citing papers are available for this paper.