Podcast
Questions and Answers
Which statement about the volume of data generated globally is correct?
Which statement about the volume of data generated globally is correct?
- The global data volume was only 2 zettabytes in 2010. (correct)
- In 2025, it is expected that the world will generate 2.5 zettabytes of data.
- Every day, internet users generate around 2.5 million gigabytes of data. (correct)
- 90% of global data was created more than 5 years ago.
Which of the following is NOT one of the 5 Vs of Big Data?
Which of the following is NOT one of the 5 Vs of Big Data?
- Volume
- Velocity
- Variety
- Validity (correct)
What percentage of global data is stored in relational databases?
What percentage of global data is stored in relational databases?
- 80%
- Less than 20% (correct)
- 100%
- 50%
What is a significant characteristic of Hadoop Distributed File System (HDFS)?
What is a significant characteristic of Hadoop Distributed File System (HDFS)?
Which source generates the highest number of posts per minute as mentioned?
Which source generates the highest number of posts per minute as mentioned?
What is a primary use for data lakes?
What is a primary use for data lakes?
What does the 'value' aspect of Big Data primarily refer to?
What does the 'value' aspect of Big Data primarily refer to?
Which of the following technologies is specifically used for storing large amounts of unstructured data?
Which of the following technologies is specifically used for storing large amounts of unstructured data?
Flashcards
Global Volume of Data
Global Volume of Data
The sheer quantity of data generated in the world. It is measured in Zettabytes (ZB), with 1 ZB equaling 1 billion Gigabytes.
5 V's of Big Data
5 V's of Big Data
A framework used to classify and describe the characteristics of Big Data, including its volume, variety, velocity, veracity, and value.
Velocity (Big Data)
Velocity (Big Data)
Data that arrives at a high speed and needs to be processed immediately. Examples include real-time stock prices, sensor data, and social media feeds.
Variety (Big Data)
Variety (Big Data)
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Volume (Big Data)
Volume (Big Data)
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Veracity (Big Data)
Veracity (Big Data)
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Value (Big Data)
Value (Big Data)
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HDFS (Hadoop Distributed File System)
HDFS (Hadoop Distributed File System)
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Study Notes
Big Data
- Data is crucial for decision-making in all business aspects.
- Global data volume is estimated to reach 175 zettabytes (ZB) by 2025.
- In 2010, the data volume was significantly lower.
- 2.5 million gigabytes of data generated daily by internet users.
- 90% of data was generated in the past two years.
The 5Vs of Big Data
- Velocity: Batch, near real-time, real-time, and streaming data.
- Variety: Structured, unstructured, and semi-structured data.
- Volume: Data measured in terabytes, records, transactions, files, etc.
- Veracity: Trustworthiness, authenticity, origin, and reputation.
- Value: Statistical, events, correlations, and hypothetical data.
Data Sources
- Facebook generates 500,000 tweets per minute.
- Twitter, Instagram, and IoT devices produce large amounts of data.
Data Storage
- Less than 20% of global data is stored in relational databases, but this percentage is crucial for systems like banking.
- Relational databases are used where high consistency is needed, like banking or customer data.
- 80% of data is unstructured (text, images, video).
- This unstructured data is often stored in Big Data Architectures, the Cloud, or NoSQL databases.
Big Data Storage Technologies
- HDFS (Hadoop Distributed File System): Divides data into smaller blocks (128 or 256 MB) across multiple servers for better distribution and redundancy. Ideal for big volumes of semi-structured or unstructured data.
- Data Lakes: Centralized repositories for all types of data (structured, semi-structured, unstructured) in its raw form. Used when the specific analysis type isn't known in advance.
- NoSQL Databases: Designed for flexible and fast handling of unstructured data, such as logs, social media, or IoT data; commonly used with the cloud.
- Relational Databases: Ideal for structured data requiring high consistency, such as financial transactions or customer data.
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Description
Explore the fundamentals of Big Data, including its significance in business decision-making and the current data landscape projected to reach 175 zettabytes by 2025. Understand the 5Vs of Big Data, which encompass Velocity, Variety, Volume, Veracity, and Value, and discover various data sources and storage methods.
