---
title: "Big Data"  
description: "Big Data"  
author: "Anonymous User"  
published: 2018-06-29  
updated: 2023-05-29  
canonical: https://www.mindstick.com/forum/34559/big-data  
category: "big data"  
tags: ["bigdata", "python-3.4", "artificial intelligence"]  
reading_time: 3 minutes  

---

# Big Data

What is big [data](https://www.mindstick.com/articles/13050/salesforce-aiming-to-dominate-predictive-analytics-with-data-science) and it's uses ?

## Replies

### Reply by Aryan Kumar

Big data is a term used to describe data sets that are so large and complex that they are difficult or impossible to process using traditional data processing methods. Big data is characterized by the following three Vs:

- **Volume:** Big data sets are often very large, with billions or even trillions of data points.
- **Velocity:** Big data sets are often generated in real time or near real time, which means that they need to be processed quickly.
- **Variety:** Big data sets can come in a variety of formats, including structured, semi-structured, and unstructured data.

Big data can be used to solve a variety of problems, including:

- **Predictive analytics:** Big data can be used to predict future events, such as customer behavior or product demand.
- **Fraud detection:** Big data can be used to detect fraud, such as credit card fraud or insurance fraud.
- **Risk management:** Big data can be used to manage risk, such as financial risk or operational risk.
- **Business intelligence:** Big data can be used to gain insights into business operations, such as customer behavior or supply chain management.

Big data is a powerful tool that can be used to solve a variety of problems. However, it is important to note that big data is not a silver bullet. Big data projects can be expensive and complex, and they can be difficult to manage. Additionally, big data can be used to invade privacy or to discriminate against individuals.

If you are considering a big data project, it is important to carefully consider the risks and benefits before moving forward.

### Reply by Prakash nidhi Verma

![Big Data](https://www.mindstick.com/mindstickforums/834fdb32-bd0d-42eb-b7ed-6781f225c697/images/91ec88f8-1226-4258-a3e3-05f6db118b32.jpg)\

it is very easy to realize value of Big data through new technologies now adays. example :shopping behavioral trends of costumers to improve stockage refrence in price.

Many old IT companies are fully depends on big data some times they fail to identify that's data now. Many organisation are replacing their tradition system with open source platforms using Hadoop.Most big data solutions are based on hadoop,which is designs for single machine to thousands of machines With the help of big data technologies in sector.

![Big Data](https://www.mindstick.com/mindstickforums/834fdb32-bd0d-42eb-b7ed-6781f225c697/images/a57a366f-40c9-4ad5-aff4-4973a45da7c5.png)\

Benifits :

- Big data are allow a company to collect billions of real-time data points on its products, resources data for customers.

- Speed at which data updated using big data technologies allow to more quickly and accurately respond to customer demands.

![Big Data](https://www.mindstick.com/mindstickforums/834fdb32-bd0d-42eb-b7ed-6781f225c697/images/bab2ac85-53f8-4d18-8b92-fd29b0a7f5d6.png)\


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Original Source: https://www.mindstick.com/forum/34559/big-data

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