Historical Developments of Big data

Big data dates back to the 60/70s when computers were first introduced for data processing. However, in the 90s the term big data was used to describe the growing value of data (volume, variety and velocity)

In the early 2000s, the introduction of the internet and increase of people having devices meant a massive increase in the amount of data being generated and collected, in turn created new tools and technologies to collect and analyse the data.

In 2004, google introduced MapReduce which allowed large scale data processing on distributed systems using commodity hardware. This tech became the starting point for Hadoop which is an open source platforms for data storage and processing which released in 2006.

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Application of Big Data

By analysing the data it can help to make useful decisions such as: Tracking customer spending habits - see what they’ve previously bought to help to help to advertise things toward that customer that they are more likely to buy. E.g Amazon, banks etc. Smart traffic system - GPS to show you what way has speed cameras, traffic etc. additionally for pilots to see what the weather conditions are gonna be like e.g speed, moisture, temperature etc. lastly self driving cars. Virtual personal assistant tool such as Siri (Apple), Alexa (Amazon) etc. which tracks the location so they can tell them the local time, season, weather, news or any other question asked by analysing all data it provides an accurate and fast answer. https://www.geeksforgeeks.org/applications-of-big-data/

Strategies for Limiting the Negative Effects of Big Data

Making sure that biased data is not used such as making sure it’s accurate and also up to date can help to limit the bias that is seen through but data especially for the healthcare and financial systems. Large businesses could think about using more modern techniques and tools to help deal with the large mass of data sets, this gets rid of duplication of data. Also they could additionally use machine learning technology, improve its development and marketing strategies etc. Changes in the Regulatory environment means that they should keep up to date with data privacy needs so they’re not storing information they don’t need. This will save them money and time because they won’t have to pay fines for holding unnecessary data. Also because they are ahead of other businesses then they can use this leverage for competitive advantage. https://kms-solutions.asia/blogs/top-challenges-related-to-big-data-and-how-to-overcome-them

Contemporary Applications of Big Data in Society

One way Big Data is used in society is through the government, the US government use ID photos, fingerprints, phone activity etc which they store using big data. The US immigration and Customs Enforcement has used facial recognition technology to go through drivers licence photo databases to spot any illegal immigrants with the hope of finding them and having them deported which is put through large amounts of data to track down on the people they’re searching for. Big data is used for things such as video games one way is to improve them so that more people can enjoy them ‘Activision Blizzard’ uses big data one example is the business uses machine learning to detect power boosting to track key indicators for increasing quality of game time. The rise of social media and networks meant that the way that people socialise has drastically changed because of this relationships have also changed and developed into the digital age some examples of this are ‘Tinder’ uses...

Annabelle McCulloch

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