Historical development of big data



 2.Give a description of the historical development of big data


90% of the available data has been created in the last two years. , The earliest records of using data to track and control businesses date back from 7.000 years ago when accounting was introduced in Mesopotamia in order to record the growth of crops and herds. 

 

 

 

This is the historical timeline of Big Data:

 

 

 

1943 – The UK developed the first data-processing machine to decipher Nazi codes.

 

1945 – ENIAC, the first electronic general purpose computer, was completed.

 

1954 – The first fully transistorised computer used all transistors and diodes and no vacuum tubes.

 

1964 – The IBM System/360 family of mainframe computer systems was launched.

 

1971 – Intel’s 4004 became the first general purpose programmable processor.

 

1973 – Xerox unveiled the first desktop system to include a graphical user interface and internal memory storage.

 

1977 – ARCnet introduced the first LAN at Chase Manhattan Bank, connecting 255 computers.

 

1981 – The PC era began.

 

1983 – IBM released its first commercially available relational database, DB2.

 

1989 – Implementation of the Python programming language began.

 

1998 – Carlo Strozzi developed NoSQL, an open-source relational database.

 

1999 – VMware began selling VMware Workstation, allowing users to set up virtual machines.

 

2002 – Amazon Web Services (AWS) launched as a free service.

 

2006 – AWS started offering web-based computing infrastructure services, now known as cloud computing.

 

2007 – Apple launched the first iPhone, creating the mobile internet as we know it today.

 

2010 – The first solutions for 100 Gigabit Ethernet were introduced.

 

2011 – Facebook launched the Open Compute Project to share specifications for energy efficient data centers.

 

2013 – Docker introduced open-source OS container software.

 

2015 – Google and Microsoft lead massive build outs of data centers.

 

2017 – Huawei and Tencent joined Alibaba in major data centre build-outs in China.

 

2018 – Leading data center operators started the migration to 400G data speeds.

 

2018 – Silicon photonics technology started to positively impact data center networking architectures.

 

2020 – Edge computing will revise the role of the cloud in key sectors of the economy.

 

2021 – Data center speeds expected to exceed 1,000G.

 

2025 – Data centers will be increasingly on-device.

 

 

 

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Reference:

 

https://www.weforum.org/agenda/2015/02/a-brief-history-of-big-data-everyone-should-read/

 

https://www.verdict.co.uk/big-data-timeline/

 

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