LEAP(4BD): Lightweight Evaluation and Architecture Prototyping for Big Data

Abstract

The exponential growth of data in the last decade has fueled a new specialization for software engineeringbig data software systems. At the heart of bigdata systems is a collection of database technologies that are simpler and more lightweight, and provide higher scalability and availability than traditional relational databases. These highly scalable NoSQL databases are typically designed to scale horizontally across clusters of low-cost, moderate-performance servers. They achieve high performance, elastic storage capacity, and availability by replicating and partitioning data sets across a cluster. Each database specifies its own proprietary data model and query language, as well as database-specific mechanisms for achieving distributed data consistency and availability.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
AD1127995

Entities

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Availability
  • Big Data
  • Consistency
  • Data Management
  • Data Sets
  • Databases
  • Department Of Defense
  • Engineering
  • Engineers
  • Language
  • Lightweight
  • Product Prototyping
  • Productivity
  • Relational Databases
  • Scalability
  • Software Design
  • Software Development
  • Test And Evaluation
  • Websites
  • Workload

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Parallel and Distributed Computing.
  • Systems Analysis and Design