Sample Big Data Course

Intro to Big Data

By Grayson SteinbergInstructional Designer

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Introduction

Big data is a bit like an onion. The more you peel it back, the more layers that you reveal and the more data you can potentially mine to reveal information and insights, as well as better understand relationships among different sets of data.

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What is Big Data?

You can gather all sorts of data from your customers:

• structured data: e.g. databases, financial records
• semi-structured data: e.g. server log files

• unstructured data: e.g. multimedia, social media posts

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How can Big Data improve results?

Insights gained from big data make it easier to do the following (Hashemi-Pour, et. al, 2024): • formulate reliable predictions about future market conditions • provide better customer service • improve overall operational efficiency

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The 6Vs of Big Data

Variety

Velocity

Volume

Value

Veracity

Variability

Veracity

The quality, accuracy and authenticity of data

Use Cases

• Carefully assess available data and ensure it is reliable before using it to make decisions

Velocity

Speed at which data is generated and processed

Use Cases

• Analysis of real-time customer and market information, (e.g geolocation data) to identify emerging trends as they evolve

Variety

Different types of data from various sources

Use Cases

• Analysis and comparison of demographic data and social media posts to predict customer behavior and tailor advertising accordingly

Volume

The quantity of data being generated and processed

Use Cases

• Real-time data on sales volume collected from retail stores and websites

Variability

How data changes over time

Use Cases

• Consider how data is formatted and how that might affect its interpretation

Value

Focus on extracting meaningful and useful insights from data

Use Cases

• Using data on website visits to generate customer personas