The Development of Big Data
Human beings have been generating data for thousands of years. Ancient civilisations such as Ancient Egypt and Rome understood the value of recording information and the uses this information could have. Though humans have been generating data for millennia, the true advent of Big Data as we understand it today really came about with the invention of modern computing. The history of Big Data can be viewed in three distinct phases. These phases each began with significant technological leaps.
In the beginning, Big Data analyses focused on structured data. As discussed in a previous blog post, this kind of data can be organised neatly into rows and columns for example. The rise of Realtional Database Management Systems in the 1970's, and techniques such as structured query language (SQL), as the dominant approach for data management allowed people to gather and analyse large amounts of data such as sales figures, inventory records, or customer demographics. These systems provided people with the tools to efficiently store, organise, and query this structured infromation. This benefited businesses and organisations and allowed them to gain better insights into their operations allowing them to make better decisions and work more efficiently. These early developments still sit at the core of many Big Data Technologies provided by companies such as Microsoft, Google and, Amazon today.(1)
The Web Revolution and Unstructured Data
The new era of the internet came will a fundemental shift in data. The sudden explosion of websites, emails, social media, and online transaction led to an unprecedented shift from structured data to unstructured data. As discussed in a previous blog post, unstructured data is not categorised easily such as text documents, images, videos, social media posts, and web server logs. This explosion of data was extremely valuable but required new approaches and technoligies within the field of Big Data. Businesses and organisations now had access to a wealth of data about customer and client behaviour. Using Big Data technology to analyse click-through rates, search queries, and website navigation patterns were crucial in understanding user engagement and optimising how these businesses interacted with customers in the new digtial realm. These kinds of data and the way business have collected and analysed them have shaped the modern web as we know it today. This era super charged the demand for data storage and analysis.(1)
The next era is the era leads to the world we are currently in with the wide spread adoption of mobile technologies and the rapidly expanding internet-of-things right up to the advent of AI and large language models and will be discussed in my next post.
1.https://www.bigdataframework.org/knowledge/a-short-history-of-big-data/
I was very fascinated by the history of big data. Learning that data was measured and used in ancient times is incredible, it makes sense, but I never thought about it in this context.
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