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Class notes Database Development

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  • April 22, 2023
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https://www.youtube.com/watch?v=t8jgX1f8kc4 Wat is a database?



Data Size Math

Kilobyte (KB) – 103 bytes, i.e., A thousand bytes

Megabyte (MB) – 106 i.e., A million bytes

Gigabyte (GB) – 109 i.e., A thousand of million bytes (billion)

Terabyte (TB) – 1012 i.e., A million of million bytes (trillion)

Petabyte (PB) – 1015 i.e., A thousand of millions of million bytes

Exabyte (EB) – 1018 i.e., A million of millions of million bytes

Zettabyte (ZB) – 1021 i.e., A thousand of millions of millions of million bytes

Yottabyte (YB) – 1024 i.e., A million of millions of millions of million bytes



‘Currently, any data set over a few terabytes is classified as big data’ (Tiwari 2011)



Big data is a term that is used to describe data that is high volume, high velocity, and/or high variety;
requires new technologies and techniques to capture, store, and analyze it; and is used to enhance
decision making, provide insight and discovery, and support and optimize processes. (Mills, Lucas,
Irakliotis, Rappa, Carlson, and Perlowitz, 2012; Sicular, 2013). Also:
https://www.ibmbigdatahub.com/infographic/four-vs-big-data



'Big data' is the new science of understanding and predicting human behaviour by studying large
volumes of unstructured data. (Paul Gil, Updated February 12, 2018
https://www.lifewire.com/what-exactly-is-big-data-4051020)

, SEP 30, 2015 @ 02:19 AM 171,350 VIEWS



Big Data: 20 Mind-Boggling
Facts Everyone Must Read











Bernard Marr ,
CONTRIBUTOR


I write about big data, analytics and enterprise performance

Opinions expressed by Forbes Contributors are their own.

Big data is not a fad. We are just at the beginning of a
revolution that will touch every business and every life on
this planet.
But loads of people are still treating the concept of big
data as something they can choose to ignore — when
actually, they’re about to be run over by the steamroller
that is big data.
Don’t believe me? Here are 20 stats that should convince
anyone that big data needs their attention:




1. The data volumes are exploding, more data has
been created in the past two years than in the entire
previous history of the human race.

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