User Review( votes)
Big data tech- Data is one of the most valuable resources in the world today, and that’s why businesses like Facebook that are built entirely on their ability to collect and provide access to data are able to make so much money. In fact, big data and data analytics are both beginning to transform the tech industry in ways that no one previously thought possible – from helping businesses to make more informed decisions about their strategies, to gaining the kind of market insights that would completely fly by most people unnoticed.
Data Analytics and Data Science
Data analytics is one of the most important areas of current scientific research. We have only just begun to scratch the surface of what is possible with data analytics; from machine learning, to making predictions about the future, data analytics is enabling us to harness the true power of data and turn it towards solving previously unsolvable problems. In order to apply data analytics and data science techniques to data and make it useful, we need very large data sets to work with.
The more useful data we have, the more powerful the predictions that we are able to make as a result. There are a variety of places that all of this data can come from. In some cases, this data will come from scraping freely available online data sources, and in other cases, it is data that a business gathers during the normal course of its operations.
Once sufficient useful data has been gathered, analytics can be used to mine that data for useful information and patterns. These analytics are increasingly being done by using machine learning algorithms. These algorithms are able to pick out patterns from data that would be impossible for a human to discern. It is by training algorithms to spot these patterns that we are able to train them to accomplish things that were previously impossible.