Big Data Overview and 5 Vs
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Questions and Answers

Which of the following statements accurately describes the concept of 'velocity' within the 5 Vs of Big Data?

  • It signifies the speed at which data is generated and processed. (correct)
  • It relates to the different types of data structures used.
  • It determines the trustworthiness of the data collected.
  • It refers to the scale of data generated over time.

What is the estimated amount of data the world will generate by 2025?

  • 50 million terabytes
  • 175 zettabytes (correct)
  • 1 billion gigabytes
  • 50 zettabytes

Which type of databases accounts for less than 20% of global data storage capacity?

  • Cloud databases
  • NoSQL databases
  • Relational databases (correct)
  • Distributed databases

What is the primary purpose of Hadoop Distributed File System (HDFS) in Big Data storage?

<p>To handle large volumes of data across multiple servers. (B)</p> Signup and view all the answers

What percentage of global data is considered unstructured?

<p>80% (C)</p> Signup and view all the answers

In which scenario would a Data Lake be most beneficial?

<p>When long-term storage of diverse and raw data is required. (C)</p> Signup and view all the answers

What does the term 'veracity' in Big Data refer to?

<p>The trustworthiness and authenticity of data. (D)</p> Signup and view all the answers

Which of the following is NOT a main source of data generation mentioned?

<p>Microsoft Teams (A)</p> Signup and view all the answers

What type of data does Big Data Architectures primarily store?

<p>Only unstructured data (C)</p> Signup and view all the answers

What is a common characteristic of NoSQL databases in the context of Big Data?

<p>They are suited for large volumes of unstructured data. (C)</p> Signup and view all the answers

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Study Notes

Big Data Overview

  • Data is crucial for decision-making in all business areas.
  • By 2025, the world will generate 175 zettabytes (ZB) of data.
  • In 2010, data generation was only 2 ZB.
  • Daily, internet users generate approximately 2.5 million gigabytes (GB) of data.
  • 90% of all data generated in the past two years.

5 Vs of Big Data

  • Velocity: Data streams encompass batch, near real-time, real-time, and streamed data.
  • Variety: Data encompasses structured, unstructured, and semi-structured formats.
  • Volume: Data is measured in terabytes, records, transactions, tables, and files.
  • Veracity: Data incorporates trustworthiness, authenticity, origin, reputation, and accountability.
  • Value: Data includes statistical, event, correlation, and hypothetical information.

Data Sources

  • Facebook
  • Twitter (500,000 tweets per minute)
  • Instagram (347,222 posts per minute)
  • Internet of Things (IoT) sensors with 75 million connected devices.

Data Storage

  • Less than 20% of global data is stored in relational databases (important for banking, hospitals, etc).
  • 80% of global data is unstructured (text, images, videos).
  • Storage occurs in Big Data Architectures, the cloud, and NoSQL databases.
  • Specialized technologies are needed to process and analyze the massive scale of data that traditional databases cannot handle.

Data Storage Methods

  • HDFS (Hadoop Distributed File System):

    • Divides data into small blocks (128MB or 256MB).
    • Distributes data across multiple servers for redundancy and fault tolerance.
  • Data Lakes:

    • Centralized repositories for diverse raw data formats (structured, semi-structured, unstructured).
    • Useful when needing to store large volumes of data for potential future analysis.
    • Uses raw data as-is without transformation.
  • NoSQL:

    • Flexible, fast, suitable for unstructured data.
    • Used when data is constantly evolving.
  • Relational Databases (SQL):

    • High consistency and suited for well-structured data.
    • Necessary when data integrity is paramount.

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Description

This quiz covers the importance of data in business decision-making and the tremendous growth of data generation projected by 2025. It also explores the 5 Vs of Big Data: Velocity, Variety, Volume, Veracity, and Value, along with various data sources contributing to this massive influx. Test your knowledge on these critical concepts!

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