Positives and Negatives of Big Data

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Big data impacts are day life without many even noticing, but what is big. There are many different definitions of big data. Big data holds large amounts of data from different locations, data types and sources. Due to it having a significant amount of date, there is still high velocity. Producing high speed of data, what is all this is being analyzed and soured by great processer and algorithms. Making it excellent for many large corporations to use for marketing, identifying trends and aiming at individuals. The database id growing in popularity with governments, origination, and organization. But a risk that comes with big data in compromising people’s rights to privacy and to data protection.

Big data can have large amounts of data, but how is it made and collected? Big data can be created by finding and collecting large amounts of data and information from numerous different sources. This data can be about anyone or anything. For examples, big data can collect consumer’s data about past perches. What can make more personalized marketing towards them? Any information people put on the internet is stored forever and can be made into big data. Social media pages google accounts and online shopping. Government organizations collect your personal details and health records that can be stored in big data.

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Big data can be very beneficial and used in many different ways. After big data is collected, it is the analyzed at very high speeds with computer software and algorithms. This organized information can then be used in marking, design, trends or popularity prediction, transport, business, government activities, research and more. Big data can be used to increase sales, understanding, progress and etc. For example, big data can discover consumer shopping habits and patters from their past perches and make more personalized marketing. This can save companies a lot of money in marking and make sales increase. It can also fuel optimization tools for the transportation industry

Many corporations, governments, and other large organizations all over the world have chosen to use big data and with that have investing considerable money. Columbus (2018) states “53% of companies are using big data analytics today up from 17% in 2015”. This is a large increase in the last years for big data use showing the rise in popularity within originations. This makes clear big data will keep growing and improving in further years. For example, large companies that use big data are Amazon, Netflix, Mimili, Starbucks, T-Mobiles and further. Big data applications are also used in governmental institutions like healthcare, education, transportation, and crime prevention.

Data mining what can also be called knowledge discovery in date is used by many large organizations. As it can be very beneficial for them because they can save money and data. Many organizations have left over or raw data. Data mining can help with that as it turns raw data into something beneficial and that can be used. This can be done by using many computer programs that detect patterns in large groups of data what then can be used. This in beneficial due to saving and making use on heaps of data that can be used latter on to a profit or advancement.

Big data has and can create many opportunities for companies, people, and places. Plus, in further development will create additional opportunities. Big data is a large and complicated system that requires many roles. This creates many jobs as it gives people many opportunities. Working on big data and how to advance it. It is a popular career and field. Jobs found from big data teams (DOYLE, Updated June 19, 2020) are: Software Engineers, Statisticians, Data Hygienists, Data Architects, Data Scientists and Visualizers. Big data also creates many opportunities for companies. Generation sizeable profit. It helps and increase the development and growth of the entire organizations.

Big data impacts many people and companies’ livelihood in positive and negative ways. Big data can help make revenue, income, and create jobs for numerous people and companies. But there are many negatives and risks that comes with big data. There is a possible but unlikely chance that someone can hack companies that use big data and get access to your information. Another negative that come with big data is due to algorithm, discrimination and determinism can occur. Violations of privacy and right to data protection can also be occur what is a significant issue that has happened in past events.

Big data has had much success in the IT industry. Although there is a negative accept, they can be easily addressed in the future. Big data has more positive than negative and will most likely keep growing and developing, being more popular with companies and government. Ahmed (2017) states: “Total revenues from big data and business analytics will rise from $122 billion in 2015 to $187 billion in 2019. Business spending on big data will surpass $57 billion dollars this year”. This proves that big data is not slowing down and will progress dramatically in the future years.

In conclusion, big data is a spectacular invent that has changed the digital world. With it being beneficial for business, government, and the general public. Working faster speed, bigger quantities and creating more revenue. There are still many obstacles to overcome, like safety issues and data waste. Big data has and will keep changing the world.

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Positives and Negatives of Big Data. (2022, September 01). Edubirdie. Retrieved November 5, 2024, from https://edubirdie.com/examples/positives-and-negatives-of-big-data/
“Positives and Negatives of Big Data.” Edubirdie, 01 Sept. 2022, edubirdie.com/examples/positives-and-negatives-of-big-data/
Positives and Negatives of Big Data. [online]. Available at: <https://edubirdie.com/examples/positives-and-negatives-of-big-data/> [Accessed 5 Nov. 2024].
Positives and Negatives of Big Data [Internet]. Edubirdie. 2022 Sept 01 [cited 2024 Nov 5]. Available from: https://edubirdie.com/examples/positives-and-negatives-of-big-data/
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