Big Data

Big Data Community

Welcome to the JAAGNet Community for Big Data.

Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time. These data sets are so voluminous that none of the traditional data management tools can store it or process it efficiently. These massive volumes of data can be used to address business problems which previously could not have been tackled. Big Data has totally changed and revolutionized the way businesses and organizations work, Big Data applications encompass our daily personal and business lives; media and entertainment, finance, healthcare, education, retail and manufacturing all areas where big data is applied.

Let's start with a definition:

noun:  big data
 
noun: extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
"much IT investment is going towards managing and maintaining big data"
 

This Community will be coming February 1st 2020 but in the meantime please feel free to join now.

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Silver Level Contributor

 

Pixabay - qirnono

Substance use disorders (SUDs) represent a broad category of mental health disorders that encompasses dependence on any substance from alcohol to nicotine to opioids. In 2018, 20.3 million people in the United States had an SUD according to the National Center for Drug Abuse Statistics.…

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Gold Level Contributor

Image: Rymden - stock.adobe.com

After a challenging 2020, the importance of analytics and a strong corporate data strategy becomes even more clear. Here are some trends to watch.

Despite the setbacks of a challenging year, the volume and importance of analytics and corporate data to corporate strategy and execution grew. Harnessing and utilizing as much corporate data as possible is not only important,…

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Bronze Level Contributor

7 Key Big Data Trends to Watch in 2021

The time for Big Data is here and how. With an average individual generating about 1.7 megabytes of data through their online activities every second; its usage to track user habits, requirements, expectations as well as in market research and evolution and growth strategies for businesses is seeing new light of the day.

Up until now,’…

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Silver Level Contributor

Image: Unsplash - Markus Spiske

COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.

“It’s hard to get good data about the future, so we have to use data from the past,” said …

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Bronze Level Contributor

Big Data & Credit Score: What’s Changing

Image: Unsplash - Avery Evans

The availability of large quantities of consumer data, also known as big data, has broad implications for the way we measure credit. No longer will consumers be tied to traditional banking for building credit. Now, all kinds of metrics can help prove credit worthiness.

These changes mean credit is more…

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Bronze Level Contributor

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Introduction

There are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T. Leek, Roger D. Peng. These questions help to frame our thinking of data science problems. Here, I propose that these questions also provide a unified framework for relating statistics to data science.…

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Gold Level Contributor

Big Data Industry Predictions for 2021

Excerpt from article originally published by Inside Big Data - link below to original article

Analytics

The “analytic divide” is going to get worse. Like the much-publicized “digital divide” we’re also seeing the emergence of an “analytic divide.” Many companies were driven to invest in…

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