Skip to main content

Overview of Big Data and Analytics in Higher Education

  • Chapter
  • First Online:
Big Data and Learning Analytics in Higher Education

Abstract

Our interactions with digital technologies in various spaces and time continue to generate a large amount of data. Big Data describes the significant growth in volume and variety of data that is no longer possible to manage using traditional databases. With the help of analytics, these seemingly disparate and heterogeneous quantities of data can be processed for patterns, which can in turn engender useful insights critical for decision-making. Business organisations are starting to systematically understand and explore how to process and analyse these vast array of data to improve decision-making.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ben Kei Daniel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Daniel, B.K. (2017). Overview of Big Data and Analytics in Higher Education. In: Kei Daniel, B. (eds) Big Data and Learning Analytics in Higher Education. Springer, Cham. https://doi.org/10.1007/978-3-319-06520-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06520-5_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06519-9

  • Online ISBN: 978-3-319-06520-5

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics