Big data outcome 2

Outcome 2 out will cover Topics 9-13

Topic 9-11

9.contemporary applications of big data in business
10.contemporary applications of big data in science
11.contemporary applications of big data in society

9.the contemporary applications of big data in business has many use which pushes company's to invest further into big data applications and analysis some of these uses include Targeting customers or potential customers by learning their behaviour and preferences via social media, browsing log, text analytics and sensory data from smart watches with this businesses can increase the amount of data they can analyse to get the most accurate information, another use is for financial trading using big data allows businesses to determine the best  buy and sell trading stocks

10.The contemporary applications of big data in science allows for improved health care by using big data analytics allows us to analyse DNA strings within minutes, which can enable us to find new cures, predict and understand new diseases quicker, another way big data is used in science is improving science and research capabilities which allows us to further our scientific knowledge an example of big data in the scientific field getting used is CERN, CERN's data centre has 65000 processors to analyse 30 petabytes of data.

11.Contemporary applications of big data in society allows for towns, city's and country's to help keep their places safe by increasing the amount of security via law enforcement they have by using big data they can use analyse patterns to figure out crimes before they happen by searching peoples searching habits, GPS[ location and health. Big data allows the improvement of cities and countries by optimising traffic flow based on real traffic from big data, Cities can analyse patterns to help improve the daily lifes of their citizens

Topic 12-13

12.future applications of big data
13.technological requirements of big data

12. Future applications of big tech will effect contemporary application of big data in business, science and society. As tech evolves big data analysis becomes quicker and easier to process mass quantity's of data using thing such as AI/AL and quantum computing allows for company's to funnel large quantities of data analysis within minutes or days. This allows businesses to analyse patterns quicker which helps them target potential or existing customers. The future applications can help Science by increasing the amount of data analysis which is done which can help scientists discover cures quicker and give more accurate diagnosis, future of big data can help society by helping law enforcement by catching criminals before they commit crime, increase the happiness of citizen by analysing the data from the citizens to figure out what needs fixed. 

 

13. As big data increases the total amount of data it gets so does the technological requirement increases

As bigger quantities of data must be stored the storage requirement also needs to grow but its also important that the storage does not have any faults such as data loss and corruption this means that big data storage must be backed up to ensure that if there are any loss it is backed up. parallel processing is an important part of big data analysis as parallel processing splits up processing power between two or more pc's which makes analysing large data sets much quicker.