Storage and Database Management for Big Data

Abstract

The ability to collect and analyze large amounts of data is a growing problem within the scientific community. The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety. While there has been great progress in the world of database technologies in the past few years, there are still many fundamental considerations that must be made by scientists. For example, which of the seemingly infinite technologies are the best to use for my problem? Answers to such questions require a careful understanding of the technology field in addition to the types of problems that are being solved. This chapter aims to address many of the pressing questions faced by individuals interested in using storage or database technologies to solve their big data problems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 27, 2015
Accession Number
AD1034695

Entities

People

  • Albert Reuther
  • Jeremy Kepner
  • Vijay N. Gadepally

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Big Data
  • Computer Programming
  • Computers
  • Data Centers
  • Data Sets
  • Data Storage Systems
  • Database Management Systems
  • Databases
  • Domain Specific Programming Languages
  • Engineering
  • High Performance Computing
  • Parallel Computing
  • Parallel Processing
  • Relational Database Management Systems
  • Relational Databases
  • Social Media
  • Waveforms

Readers

  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design