Big Data & Data Analysis

Big Data analytics is the process of collecting, organizing and analyzing a large amount of data to uncover hidden pattern, correlation and other meaningful insights.

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What's Front?

Big Data Characteristics

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public class AppInheritanceTest {
public static void main(String[] args) {
Front front = new Front(true, "theme", 4);
System.out.println("Is Front Responsive?" + front.isResponsive());
System.out.println("Front HTML " + front.getHTML());
System.out.println("Front has " + front.getDemos() + " demos.");
}
}
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Big Data & Data Analysis Uses

From open source to premium services, Front makes app creation lightning fast.

Location Tracking
Precision Medicine
Fraud Detection & Handling
Advertising
Entertainment & Media
Full API reference
Why Front

Big Data & Data Analysis Features

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Data Processing

1.Data processing features involve the collection and organization of raw data to produce meaning. Data modeling takes complex data sets and displays them in a visual diagram or chart. 2.Data mining allows users to extract and analyze data from different perspectives and summarize it into actionable insights. It is especially useful on large unstructured data sets collected over a period of time.

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Predictive Applications

1.It is a crucial element of any organization’s security plan and will include real-time security and fraud analytics capabilities. 2.Fraud analytics involve a variety of fraud detection functionalities

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Analytics

1.Big Data analytics tools offer a variety of analytics packages and modules to give users options. RIsk analytics, for example, is the study of the uncertainty surrounding any given action. 2.Decision management involves the decision making processes of running a business.

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Reporting Features

1.Real-time reporting gathers minute-by-minute data and relays it to you, typically in an intuitive dashboard format. 2.This allows users to make snap decisions in heavily time-constrained situations and be both more prepared and more competitive in a society that moves at the speed of light.

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Security Features

1. Big Data analytics tools should offer security features to ensure security and safety. One such feature is single sign-on. Also called SSO, it is an authentication service that assigns users a single set of login credentials to access multiple applications. 2. Data encryption involves changing electronic information into unreadable formats by using algorithms or codes.

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Technologies Support

1.Your analytics software should support a variety of technology and tasks that may be useful to you. 2.Hadoop is a set of open-source programs that can function as the backbone for data analytics activities.

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