Post on 22-Jan-2017
Data: A timelineHow data came to rule the world
Also read: Spotlight: How data influences the publishing industry
1881
The Hollerith Tabulating Machine
Punch cards helped US census workers to deal with the increasing amount of information.
1932
A population boom
The introduction of social security numbers andother methods of managing the records after a huge population boom.
1941
The information explosion
The first time that the term ‘information explosion’is used in the media in reference to the ever-increasingamount of information.
1944
The first storage warning
Estimates are made that university libraries aredoubling in size every 16 years. Questions are askedabout how places can store such vast records.
1948
Shannon’s information theory
Shannon determined the minimum data requirementsto transmit over noisy channels. Set the foundationsfor today’s infrastructure.
More info here
1956
Virtual memory
By German physicist Fritz-Rudolf Güntsch. The idea finite storage was infinite.
More info here
1963
Time for a solution
Storage of records by their traditional meanswas no longer effective, due to the mass increaseof new information and an unmanageabletrajectory.
1966
Centralised computing systems
Organisations start to build and maintaintheir own centralised computing systems to manage and automate their inventory.
Note: They were much bigger than this!
1970
The relational database
A huge moment. Edgar F. Codd shows how informationin large databases could be accessed easily. This is a seminal discovery that changed the shape of computing.
1980
Parkinson’s law of data
I.A. Tjomsland says:
“Data expands to fill the space available.”
Late 1980s
Enterprise resource planning improves
ERP software starts to mature, integrating withdifferent departments and organisational elements.
1989
Business intelligence
Howard Dresner defines BI as "concepts and methods to improve business decision making by using fact-based support systems".
Mid 1990s
The world wide web skyrockets
A tumultuous and exciting period in history, as theinternet explodes in popularity and the resultingdata starts to inform the world we live in now.
1997The problem of big dataMichael Cox and David Ellsworth highlight the problems of so much data for modern computer systems.
Future data storageMichael Lesk - “the typical piece of information will never be looked at by a human being.”
1998
NoSQLCarlo Strozzi creates the open-source relational database called NoSQL.
GoogleGoogle is founded.
2001
SaaSThe phrase “Software as a Service” is first mentioned in the media.
The 3 VsDoug Laney first mentions volume, velocity, and variety with regards to big data.
2005
Usability considerations
An increased focus on the usability of softwarefor end users - in enterprise and consumer markets.
2007
The expanding digital universe
Predictions that information will double every 18 months for 4 years. These proved to be conservative estimates.
2008
Big data
The term starts to gain traction in tech and business arenas.
2009
Business intelligence takes overGartner research shows that BI is now priority for CIOs.
How much information?A report highlights amazing levels of data consumption.
2011
The real growth of data
Science Magazine shows that by 2007, 94% of data storage was digital. Also highlighted the world's capacity to store information grew at an rate of 25% every year for 20 years up to 2007.
2012
Big data research
The US government reveals the Big Data Research & Development Initiative, covering multiple departments.
2014
The year of IoT
The “Internet of Things” gains traction as more itemsbegin to contain embedded tech.
2015
Smart cities
The year of the smart city, 2015 saw an increase in connected ‘things’ used in cities to improve lives within it. Smart cities use real-time data to enhance services and increase efficiency.
More reading
• An introduction to data encryption• What is a hybrid database?• What is an API? A brief introduction
Read more on the Ribbonfish blog.
Resources for this presentation: WinShuttle & GCN