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:
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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.
https://www.iste.org/explore/articleDetail?articleid=204 (accessed on Aug 9, 2018).
- 3.
https://www.statista.com/statistics/259477/hours-of-video-uploaded-to-youtube-every-minute/ (accessed on Aug 9, 2018).
- 4.
https://www.cloudera.com/downloads/quickstart_vms/5-13.html (accessed on Aug 10, 2018).
Further Reading
5 Reasons Spark is Swiss Army Knife of Data Analytics. Retrieved August 10, 2018, from https://datafloq.com/read/5-ways-apache-spark-drastically-improves-business/1191.
A secret connection between Big Data and Internet of Things. Retrieved August 10, 2018, from https://channels.theinnovationenterprise.com/articles/a-secret-connection-between-big-data-and-the-internet-of-things.
Big Data: Are you ready for blast off. Retrieved August 10, 2018, from http://www.bbc.com/news/business-26383058.
Big Data: Why CEOs should care about it. Retrieved August 10, 2018, from https://www.forbes.com/sites/davefeinleib/2012/07/10/big-data-why-you-should-care-about-it-but-probably-dont/#6c29f11c160b.
Hadoop and Spark Enterprise Adoption. Retrieved August 10, 2018, from https://insidebigdata.com/2016/02/01/hadoop-and-spark-enterprise-adoption-powering-big-data-applications-to-drive-business-value/.
How companies are using Big Data and Analytics. Retrieved August 10, 2018, from https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/how-companies-are-using-big-data-and-analytics.
How Uber uses Spark and Hadoop to optimize customer experience. Retrieved August 10, 2018, from https://www.datanami.com/2015/10/05/how-uber-uses-spark-and-hadoop-to-optimize-customer-experience/.
Karau, H., Konwinski, A., Wendell, P., & Zaharia, M. (2015). Learning spark: Lightning-fast big data analysis. Sebastopol, CA: O’Reilly Media, Inc..
Reinsel, D., Gantz, J., & Rydning, J. (April 2017). Data age 2025: The evolution of data to life-critical- don’t focus on big data; focus on the data that’s big. IDC White Paper URL: https://www.seagate.com/www-content/our-story/trends/files/Seagate-WP-DataAge2025-March-2017.pdf.
The Story of Spark Adoption. Retrieved August 10, 2018, from https://tdwi.org/articles/2016/10/27/state-of-spark-adoption-carefully-considered.aspx.
White, T. (2015). Hadoop: The definitive guide (4th ed.). Sebastopol, CA: O’Reilly Media, Inc..
Why Big Data is the new competitive advantage. Retrieved August 10, 2018, from https://iveybusinessjournal.com/publication/why-big-data-is-the-new-competitive-advantage/.
Why Apache Spark is a crossover hit for data scientists. Retrieved August 10, 2018, from https://blog.cloudera.com/blog/2014/03/why-apache-spark-is-a-crossover-hit-for-data-scientists/.
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Apple_discussion (TXT 1 kb)
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Children_names (TXT 383 kb)
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Numbers_dataset (CSV 23 kb)
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UserProfile (CSV 405 kb)
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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
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