Overview of Big Data Concepts
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Questions and Answers

What percentage of global data is estimated to be stored in relational databases?

  • Over 80%
  • Exactly 25%
  • About 50%
  • Less than 20% (correct)

Which component of the 5 Vs of Big Data refers to the diversity of data types?

  • Veracity
  • Value
  • Volume
  • Variety (correct)

Which of the following describes the primary purpose of a data lake?

  • To process structured data exclusively
  • To store raw data without transformation for long-term analysis (correct)
  • To facilitate real-time data processing exclusively
  • To ensure data authenticity and trustworthiness

What technology is specifically designed to handle large volumes of unstructured or semi-structured data across multiple servers?

<p>Hadoop Distributed File System (HDFS) (B)</p> Signup and view all the answers

Which statement about the global volume of data is accurate?

<p>2.5 million gigabytes of data are generated by Internet users daily. (D)</p> Signup and view all the answers

What is the primary function of the 'velocity' aspect of Big Data?

<p>To address the speed of data generation and processing (C)</p> Signup and view all the answers

What represents the main sources of data of the modern digital age?

<p>Social media platforms and IoT devices (D)</p> Signup and view all the answers

In the context of Big Data, what does 'veracity' refer to?

<p>The reliability and authenticity of data (A)</p> Signup and view all the answers

Flashcards

What is Big Data?

The massive amount of data generated every day, reaching zettabytes (ZB) in scale. ZB is equivalent to a billion gigabytes.

What are the 5 Vs of Big Data?

The five characteristics of Big Data that make it unique: Volume (size), Velocity (speed), Variety (types), Veracity (truthfulness), and Value (purpose).

How does Hadoop Distributed File System (HDFS) store Big Data?

A storage system designed for massive volumes of data spread across multiple servers, dividing data into blocks and replicating them for reliability.

What is a Data Lake?

A centralized, raw data store where data of any type (structured, semi-structured, unstructured) is stored without any initial transformation.

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What is a NoSQL database?

A type of database designed to handle unstructured data, going beyond traditional relational databases. Examples include MongoDB, Cassandra, and Redis.

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What is Big Data Storage?

The process of storing, processing, and analyzing large and complex datasets, drawing insights for better decisions. It utilizes various technologies like HDFS, NoSQL, and cloud platforms.

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What are the sources of Big Data?

The sources that contribute to the massive amount of data generated, often in real-time, including social media platforms, sensor networks, and everyday transactions.

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How much data is stored in Relational Databases?

The percentage of global data stored in traditional relational databases is significantly lower (less than 20%) compared to unstructured data stored in Big Data architectures.

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Study Notes

Big Data

  • Data is crucial for decision-making across all business aspects
  • 2025 global data generation estimate: 175 zettabytes (ZB)
  • 2010 global data generation: 2 ZB
  • Daily global internet data generation: ~2.5 million GB
  • Recent 2 years account for 90% of data generated

Five Vs of Big Data

  • Velocity: Batch, near real-time, real-time, streaming data
  • Variety: Structured, unstructured, semi-structured data
  • Volume: Terabytes, records, transactions
  • Veracity: Trustworthiness, authenticity, origin, reputation
  • Value: Statistical, events, correlations, hypothetical scenarios

Data Sources

  • Facebook: 500,000 tweets per minute
  • Twitter: 500,000 tweets per minute
  • Instagram: 347,222 posts per minute
  • IoT: 75 million connected devices generating data

Data Storage

  • Less than 20% of global data stored in Relational Databases
  • 80% of data is unstructured (text, images, video)
  • Unstructured data is stored in Big Data Architectures, cloud, and NoSQL databases

Big Data Storage (HDFS)

  • Handles large volumes of data across multiple servers
  • Divides data into small blocks (typically 128 MB or 256 MB)
  • Distributes blocks across various nodes (servers)
  • Provides high data redundancy for fault tolerance (data copies)
  • Ideal for large amounts of unstructured or semi-structured data

Data Lakes

  • Centralized repository for all data types (structured, semi-structured, unstructured)
  • Stores data as raw data without transformation
  • Useful for long-term analysis or when analysis type isn't known beforehand
  • Ideal for large volumes of diverse, raw data

NoSQL Databases

  • Used for storing unstructured data.
  • Flexibility, speed, and good for unstructured data

Relational Databases (SQL)

  • Structured, consistent, integrity-driven data stores

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Big Data Overview PDF

Description

This quiz covers essential concepts of Big Data, including its significance in decision-making and the staggering growth of data generation. Explore the Five Vs of Big Data and understand different data sources and storage solutions. Test your knowledge on how businesses utilize data in today's digital age.

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