Introduction to Big Data

Welcome to the KnowledgeHut video on Big Data. This lecture covers the basics of data, the concept of Big Data, its applications, and classification.

Definition of Data

• Data refers to qualities, characters, or symbols recorded by computers.
• Can be stored and transmitted as electrical signals.
• Includes text, numbers, images, audio, video.
• Data is a plural term; singular is 'datum'.

What is Big Data?

• Refers to extremely large datasets that cannot be processed by traditional tools.
• Example: Facebook uploads over 500 terabytes of data daily.
• Importance:
  • Offers significant benefits despite the challenges in handling.
  • Used for detailed analysis and decision making.

Applications of Big Data

• Netflix: Uses user behavior data to recommend content, enhancing customer satisfaction and retention.
• Credit Card Companies: Analyze transaction data to detect fraud.
• Big Data is utilized across various sectors: banking, communication, healthcare, media, advertising, manufacturing, transportation, and retail.

Classification of Big Data

• Structured Data:

  • Stored in databases in an ordered manner.
  • Represents about 20% of total data.
  • Sources: Machine-generated (e.g., sensors, web logs) and Human-generated (e.g., input data, clicks).

• Unstructured Data:

  • Lacks a clear format in storage.
  • Accounts for 80% of total data.
  • Machine-generated: Satellite images, scientific data.
  • Human-generated: Social media data, mobile data, website content.

• Semi-structured Data:

  • Not fully structured but has organizational properties for easier processing.
  • Example: NoSQL documents.

Importance of Big Data

• Provides business value through analysis and processing.
• Helps in cost reduction and dynamic growth.

Ending note: Harness the potential of Big Data for business opportunities.

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