BIG DATA - created from Mind Map

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ORIGIN

IMPLICATIONS

MAIN DEFINITIONS

MOTIVATIONS

* 1854 - Large data collection in the cholera epidemic of Broad Street .Snow continued to collect and analyze data and was a pioneer of epidemiology

First big data applications

* 1890 - Tabulating machine of Hernan Hollerith for revolutionized census data analysis worldwide This machine was what originated years later the IBM company.

* 1989 - the appearance of the internet with the recording of data in excel and databases, the classification of structured, unstructured and semi-structured data is born.

* In the digital age a global study conducted by IBM concludes that 2.5 Exabyte Eb

Data on the digital aera

* Big data revolution has generated smart cars and domotics

* Design of algorithms to determine where a catastrophic natural phenomenon is probable to affect the area.

* The sentiment analysis can be effectively achieved by working with massive data analysis tools.

* Search engines such as Google, Yahoo and Bing use vast amounts of data: for every search performed on the Internet, a record is kept of the addresses visited, the information searched for and the IP address of the device. etc

* Social networking sites generate a large amount of data, with Facebook and Twitter being the largest in terms of the number of users.

* It has been demonstrated that there is a close relationship between the size of the population and the digital data stored in electronic files, personal data and care records.

DATA: Sentiment analysis can be effectively achieved by working with massive data analysis tools.

Internet of things: the collective network of connected devices and the technology that facilitates communication between devices and the cloud, as well as between the devices themselves

* Digitalizacion: is the process of converting information from analog to digital formats, while digitalization is the broader process of using digital technologies to transform business practices

* Artificial intelligents: is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations, and more.

* Big data is widely used in all areas of business, medicine, law, sociology, advertising, healthcare and science. It has the potential to provide useful information for decision making.

* Today's analysis techniques allow large volumes of data to be collected using statistics, informatics and artificial intelligence

* The tree types of analytics are applied sequentially (descriptive, then predictive, then perscriptive).

*A stack of tools that enables us to bluid a framework that makes it possible to extract useful feature from a large dataset.

* Advanced: analytical, mathematical and statistical knowledge required to develop new models ( data scientis).