Big Data refers to extensive and often complicated data sets so huge that they’re beyond the capacity of managing with conventional software TOOLS. Big Data COMPRISES unstructured and structured data sets such as videos, photos, audio, websites, and multimedia content.

Businesses collect the data they need in countless ways, such as:

• Internet cookies
• Email tracking
• Smartphones
• Smartwatches
• Online purchase transaction forms
• Website interactions
• Transaction histories
• Social media posts
• Third-party trackers -companies that collect and sell clients and profitable data

Working with big data involves three sets of activities:

• Integration: This involves merging data often from different sources – and molding it into a form that can be analysed in a way to provide insights.
• Management: Big data MUST be stored in a repository where it can be collected and readily reached. The largest amount of Big Data is unstructured, CAUSING it ill-suited for conventional relational databases, which need data in tables-and-rows format.
• Analysis: The Big Data investment return is a spectrum of worthy market insights, including details on BUYING patterns and customer choices. These are represented by examining large data sets with tools driven by AI and machine learning.