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Author: Admin | 2025-04-28
Updated April 27, 2023Difference Between Big Data vs Data MiningBig Data refers to a massive volume of data that can be structured, semi-structured, and unstructured. It comprises 5 Vs i.e.Volume refers to the amount of data or size of data that can be quintillion when it comes to big data.Variety refers to different data types like social media, web server logs, etc.Velocity refers to how fast data is growing, exponentially growing, and at a speedy rate.Veracity refers to the uncertainty of data like social media and whether the data can be trusted.Value refers to what the data we are storing and processing are worth and how we benefit from this vast amount of data.Big data can be analyzed for insights that lead to better decisions and strategic business moves.What is Big Data?Usually, data that is equal to or greater than 1 Tb is known as Big Data. Analysts predict that by 2020, there will be 5,200 Gbs of data on every person worldwide.Example: On average, people spend about 50 million tweets daily, and Walmart processes 1 million customer transactions per hour.Why is Big Data Important?The importance of Big Data does not mean how much data we have but what we would get out of that data. We can analyze data to reduce cost and time, intelligent decision-making, etc.Challenges:Storing such a vast amount of data efficiently.How do we process and extract valuable information from this enormous amount of data within a given timeframe?Solution: Hadoop and Spark frameworkWhat is Data Mining(KDD)?Data Mining,
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