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Big Data

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Non-relational databases

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technology
k12
big data
 Edad recomendada: 12 años
74 veces realizada

Creada por

Monica Nash
Monica Nash
Estados Unidos

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Big Data

Non-relational databases

Monica Nash
1

media vast medical sensors transactions social amounts

Every day , of data are collected from Internet searches , posts , customer , military surveillance , tests , and weather .

2

stored Data volume unconventional data sense Big processes

The term refers to two things : first , the actual of collected and all over the world , and second , the tools and used to make of this data .

3

constant staggering Internet activities technology raw Weather surveillance transactions data sensors

The amount of generated by our use of is . Billions of users are involved in and other on the . instruments , cameras , and traffic produce streams of data .

4

analyzing data business decisions driven experience Data quickly customer Big collecting customers target

From a perspective , we can use to effectively potential in an upcoming advertising campaign . By and data on business operations , we can make intelligent , - that increase efficiency and optimize product development . We can respond to needs and enhance their in using our products .

5

patient social roads Big purchases weapons traffic gene information media governments

With Data , can sift through profiles , , and other online activities to identify potential terrorists . Medical researchers can use and mappings to predict who might need specific treatments . Cities can take advantage of sensor technology to better design and keep traffic moving smoothly .

6

organize can't analysts engineers extract unstructured complex

How do big data and do their work ?

The first step is to the data and it in some way . This is a challenge because big data is typically and distributed over several different locations . And because it's so , combining various types of information , big data be processed quickly into a relational database .

7

trends algorithms patterns analysis mining extracted

The next step is called data , which is a broad and open - ended of data . Data mining experts use automated tools and to discover or in the data .

8

analysts interpret analytics questions big

This brings us to the last step , which is data . This is where ask specific to help them the data .

9

potential user knowledge big consent

With all of the exciting benefits of data , we need to be aware of problems . First , data is often obtained without the or of

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