In 2020, most of the spending was focused on software (52%, + 16% compared to 2019, includes databases and tools to acquire canada mobile directory, process, visualize and analyze data, applications for specific business processes), in particular for Artificial Intelligence and Data Science platforms. It is followed by services, which represent 28% of the market, and infrastructure resources (20%, + 7%), that is, analysis systems that provide computing and storage capacity. Spending on Cloud Analytics grows + 24% and this component weighs 19% of spending (+ 2% compared to 2019).
Examples and state of the art of Big Data
Do most people have only a vague idea of how deep Google has a deep understanding of everything we search on the Internet, or how much Facebook knows (anything and everything) about friends, feelings, preferences, dreams? and needs of your larger community?
Although we have never told you, Google knows how to recognize our personal data, creating profiles based on our browsing modes to offer us ads so targeted that they border on personalization. For all that half of the sky that Android has chosen, MountainView always knows where we have been, where we have traveled, stopped, eaten or stayed.
On the other hand, Facebook, with its 1 billion members, even knows when a romance has come to a head. Based on the status updates of the walls (3.3 million posts are published every minute), the company can predict if a relationship is destined to last, with disturbing precision. Not to mention Twitter that every 60 seconds moves 347 thousand tweets and that, like the other Big Tech has developed an API (Application Program Interface) that allows third parties to access each of these (by definition all public): it deals with unstructured data, probed by new sentiment analysis techniques that can understand the emotions contained in textual information, helping decision makers (business and political) to understand where the wind of opinion is going public. Gulf Phone Number List
