によって Estefany Robles Torres 9か月前.
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Is a term that describes large volumes of data, both structured and unstructured.
It is also determined by data sets or combinations of data sets whose size (volume), complexity (variability) and speed of growth (velocity) make them difficult to capture, manage, process or analyze using conventional technologies and tools.
The characteristics of Big Data are commonly referred to as the seven
We talk about the speed with which data is created, stored and processed. and processed. In some processes, time is of the essence and a delay in processing would be fatal. If data is not received, stored and processed in real time, it will become obsolete and its usefulness will be lost.
Sensors in vehicles
Sensors in autonomous vehicles generate and transmit data at high speed to make real-time decisions.
Financial transactions
Online financial transactions require real-time processing to detect fraud immediately.
This characteristic refers to the large amount of data that is generated and available in our environment. In a Big Data project, the amount of information that is produced is enormous and keeps growing. As the databases grow in size, so do the applications and infrastructure designed to capture and store such data.
For example, a company that sells its products only through an online channel, it would be convenient to implement Big Data technology to process all the information collected on its website, tracking all the actions carried out by the customer; to know where he/she clicks most often, how many times he/she has gone through the shopping cart, which are the most viewed products, the most visited pages, etc.
Human genome sequencing
Human genome sequencing can generate up to 200 gigabytes of data per individual
iCloud
This feature is perhaps the most valued by organizations and businesses looking to improve. Once we have obtained the data and transformed it to make it readable, it is time to make useful and profitable decisions that can help us.
Therefore, the value is the information obtained from the data, with which we can improve the benefits and performance of the business.
After data processing, visualization is the way in which we present the data, with the objective that this representation is done in a simple way so that anyone can access this data. Thanks to this representation, it is possible to detect hidden patterns that we would not have detected before.
line and bar charts
heat maps
Feasibility is the company's ability to manage and handle the large amount of data available to us. It is necessary that they have the appropriate skills, so that their use is as profitable as possible, both with appropriate technological programs and efficient work teams.
Veracity is the quality and reliability of the data we receive. Today, it is complex to ensure that all the information obtained is highly reliable and of optimum quality. For this, it is necessary to invest some time in trying to clean up and eliminate data that is not correct.
The data received in a Big Data project is generally very diverse. This data can come from different sources and can be found in different formats. For this reason we need to integrate different technologies and applications to be able to organize, process and integrate the different data and to be able to draw effective conclusions or identify useful patterns.
pressure readers
