Skip to main content

Big Data Management

  • Chapter
  • First Online:
Essentials of Business Analytics

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 264))

  • 195k Accesses

Abstract

The twenty-first century is characterized by the digital revolution, and this revolution is disrupting the way business decisions are made in every industry, be it healthcare, life sciences, finance, insurance, education, entertainment, retail, etc. The Digital Revolution, also known as the Third Industrial Revolution, started in the 1980s and sparked the advancement and evolution of technology from analog electronic and mechanical devices to the shape of technology in the form of machine learning and artificial intelligence today. Today, people across the world interact and share information in various forms such as content, images, or videos through various social media platforms such as Facebook, Twitter, LinkedIn, and YouTube. Also, the twenty-first century has witnessed the adoption of handheld devices and wearable devices at a rapid rate. The types of devices we use today, be it controllers or sensors that are used across various industrial applications or in the household or for personal usage, are generating data at an alarming rate. The huge amounts of data generated today are often termed big data. We have ushered in an age of big data-driven analytics where big data does not only drive decision-making for firms but also impacts the way we use services in our daily lives. A few statistics below help provide a perspective on how much data pervades our lives today:

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 129.99
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

Notes

  1. 1.

    Note: When we say large datasets that means data size ranging from petabytes to exabytes and more.

    Please note that 1 byte = 8 bits

  2. 2.

    https://www.iste.org/explore/articleDetail?articleid=204 (accessed on Aug 9, 2018).

  3. 3.

    https://www.statista.com/statistics/259477/hours-of-video-uploaded-to-youtube-every-minute/ (accessed on Aug 9, 2018).

  4. 4.

    https://www.cloudera.com/downloads/quickstart_vms/5-13.html (accessed on Aug 10, 2018).

Further Reading

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peeyush Taori .

Editor information

Editors and Affiliations

1 Electronic Supplementary Material

Supplementary Data 1

Apple_discussion (TXT 1 kb)

Supplementary Data 2

Children_names (TXT 383 kb)

Supplementary Data 3

Numbers_dataset (CSV 23 kb)

Supplementary Data 4

UserProfile (CSV 405 kb)

Supplementary Data 5

Users (CSV 169 kb)

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Taori, P., Dasararaju, H.K. (2019). Big Data Management. In: Pochiraju, B., Seshadri, S. (eds) Essentials of Business Analytics. International Series in Operations Research & Management Science, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-68837-4_4

Download citation

Publish with us

Policies and ethics