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Big Data, Big Possibilities: How to Extract Maximum Value

Big data is larger, more complex data sets, especially from new data sources. Learn about the definition and history as well as big data benefits, challenges, and best practices.

Big data

[18] In 2011 McKinsey & Company reported, if US healthcare were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in...

Learn how to Analyse Hadoop Data using Apache Pig

A Comprehensive Course on Apache Pig for Everyone! Learn How to Analyse Big Data Stored in Hadoop using Pig Tool.

What Is Big Data? Definition, How It Works, and Uses

Big data refers to large, diverse sets of information from a variety of sources that can yield useful insights to businesses and other enterprises when properly analyzed.

How to Use Big Data to Make Cities Safer

How can we use publicly available data to understand what makes a city neighborhood safe? To answer this question, Shane Jensen and Dylan Small, Professors in Wharton’s Statistics Department, are u...

Using Ecommerce Big Data to Build Personalized Experiences in 2018

Big data is an essential tool in your arsenal as your grow your ecommerce channel. Learn more how to use properly collected data to build personalized experience that increase retention and custom...

What is Big Data and Why is it Important? | Definition from TechTarget

Learn about the characteristics of big data, how businesses use it, its business benefits and challenges and the various technologies involved.

use big data to boost your tourism business | Octoparse

Big data sometimes is used in tourism in a rather unexpected way. You’ll gain insights about what data are used and how it works to boost travel and tourism.

The Small Business Owner’s Guide to Data Analytics

Small businesses can use AI and machine learning to structure big data and gain valuable insights. Learn how to use big data for better decision-making.

Introduction to Big Data with PySpark

See how big data is used across different industries and learn how to work with big data using PySpark!

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