Technological Requirements of BIG Data

 Today, I have learned about BIG Data's technological requirements. BIG Data has three requirements which are how the data is stored, how the data is processed, and how the data is integrated.

Due to the massive amounts of data collected and analysed in BIG Data as well as the exponential growth of the amount of data being gathered, it required a massive amount of storage to store all of the data. This data is mostly stored on the cloud as part of massive collections of computers known as server farms, which is made possible by the rise of cloud storage which resulted in the cost of storing data descreasing.

Recent improvements within computer hardware and processing power has made it possible for software to be utilised to process massive data sets. Software tools designed to analyse and process these massive data sets are known as BIG Data Technologies and make it possible for value to be extracted from data sets storing an insane amount of data, which would not have been possible with traditional data analysis methods. 

As part of BIG Data, large organisations are practically required to practice data integration by combining all sources of data into one data set known as the single view, which they can extract value from by using big data analysis techniques to provide insights which allows the organisation to make decisions based on the information provided about their products and customers. It is important that the data combined into the single view is up to date and reliable so that the insights provided from this data are accurate and can be used effectively.