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1958 • Hans Peter Luhn
defines Business Intelligence as “the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal.”
1965 • The US Government
plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.
1970 • Relational Database model
developed by IBM mathematician Edgar F Codd. The Hierarchal file system allows records to be accessed using a simple index system. This means anyone can use databases, not just computer scientists.
1989 • Early use of
term Big Data in magazine article by fiction author Erik Larson – commenting on advertisers’ use of data to target customers.
1991 • The birth of
the internet. Anyone can now go online and upload their own data, or analyze data uploaded by other people.
1996 • The price of
digital storage falls to the point where it is more cost-effective than paper.
1997 • Google launch their
search engine which will quickly become the most popular in the world. • Michael Lesk estimates the digital universe is increasing tenfold in size every year.
1999 • First use of
the term Big Data in an academic paper – Visually Exploring Gigabyte Datasets in Realtime (ACM) • First use of term Internet of Things, in a business presentation by Kevin Ashton to Procter and Gamble.
2005 • Hadoop – an
open source Big Data framework now developed by Apache – is developed. • The birth of “Web 2.0 – the user- generated web”.
2008 • Globally 9.57 zettabytes
(9.57 trillion gigabytes) of information is processed by the world’s CPUs. • An estimated 14.7 exabytes of new information is produced this year.
2009 • The average US
company with over 1,000 employees is storing more than 200 terabytes of data according to the report Big Data: The Next Frontier for Innovation, Competition and Productivity by McKinsey Global Institute.
2010 • Eric Schmidt, executive
chairman of Google, tells a conference that as much data is now being created every two days, as was created from the beginning of human civilization to the year 2003.
2011 • The McKinsey report
states that by 2018 the US will face a shortfall of between 140,000 and 190,000 professional data scientists, and warns that issues including privacy, security and intellectual property will have to be resolved before the full value of Big Data will be realised.
2014 • Mobile internet use
overtakes desktop for the first time • 88% of executives responding to an international survey by GE say that big data analysis is a top priority
2015 • 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.