2. Historical development of Big Data

1980's - networks started to appear across other countries, although possible, connection was still extremely difficult without travelling, the networks had to communicate in the same language as opposed to different ones. The principle link at CERN connected the US and Europe in 1989

1990's - remote access of data in the terabytes was now easily achievable around the world. To share data more easily, the web was created so that the actually location of the data wasn't necessary to know

2000's - Big data was now so large that CERN was unable to store such a vast amount of petabytes themselves and as such had to share it between partners around the world to offload some of it. This lead to the creation of cloud computing

2005 - The term Big Data is used for the first time by Roger Mougalas, a year after the creation of the term "web 2.0" which refers to data too large to handle with traditional business methods

2009 - India's government decides to employ biometric records in the form of iris scans, fingerprints and photographs of all the people living in the country and store it in the largest biometric database on the planet

sources - https://datafloq.com/read/big-data-history/239

Comments

3. Growth of Big Data

3. Growth of Big Data Kryder's law - The idea that data storage will double almost every year (13 months), as the storage capacity increases, storage will decrease in price. https://searchstorage.techtarget.com/definition/Kryders-Law growth of data - Data is increasing at an exponential rate, more data has been made in the past two years than ever before combined. It is estimated that by the year 2020, 1.7MB of new data will be made every second for every human on earth. Within 5 years there will be 50 billion smart connected devices on earth. also by 2020, at least 1/3 of all the world's data will pass through the cloud. The image below contains more examples of data growth as well as a graph for visual representation https://dvmobile.io/dvmobile-blog/feeling-overwhelmed-by-a-deluge-of-iot-data-iot-data-analytics-dashboards-can-help

Big Data and Bitcoins

Big Data and Bitcoins Recently, Bitcoin has seen a recent spike in value, which has prompted many people to begin "mining" for more. This in turn has had a knock on effect with computer parts, sending the price of dedicated graphics cards far more expensive than before. Big data can be used for both of these problems through methods such as google trends. For bitcoin, google trends can be tracked for how often people are giving attention and searching google for bitcoin or similar terms. Big data can also be used for tracking the current value of bitcoin and analyzing any patterns in the price changes to help predict whether the value will rise more or fall.

6. Traditional statistics

6. Traditional statistics Traditional Statistics is simply the act of gathering data and searching for trends among it. It is widely used in many different ways in our society. Medical uses could be for vaccines, as doctors can recover results information from different types of vaccine for a disease to insure safety when administering it to large amounts of people Communication companies also use statistics to help identify faults within the network so that they can be fixed faster which in term ensures that customers will be able to regain full functionality in a shorter time Government agencies around the world rely on statistics for a clear understanding of their countries, their businesses and their people.

Big Data EC1702991

Search This Blog