Podcast
Questions and Answers
Which of the following statements accurately describes the concept of 'velocity' within the 5 Vs of Big Data?
Which of the following statements accurately describes the concept of 'velocity' within the 5 Vs of Big Data?
What is the estimated amount of data the world will generate by 2025?
What is the estimated amount of data the world will generate by 2025?
Which type of databases accounts for less than 20% of global data storage capacity?
Which type of databases accounts for less than 20% of global data storage capacity?
What is the primary purpose of Hadoop Distributed File System (HDFS) in Big Data storage?
What is the primary purpose of Hadoop Distributed File System (HDFS) in Big Data storage?
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What percentage of global data is considered unstructured?
What percentage of global data is considered unstructured?
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In which scenario would a Data Lake be most beneficial?
In which scenario would a Data Lake be most beneficial?
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What does the term 'veracity' in Big Data refer to?
What does the term 'veracity' in Big Data refer to?
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Which of the following is NOT a main source of data generation mentioned?
Which of the following is NOT a main source of data generation mentioned?
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What type of data does Big Data Architectures primarily store?
What type of data does Big Data Architectures primarily store?
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What is a common characteristic of NoSQL databases in the context of Big Data?
What is a common characteristic of NoSQL databases in the context of Big Data?
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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
- 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
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HDFS (Hadoop Distributed File System):
- Divides data into small blocks (128MB or 256MB).
- Distributes data across multiple servers for redundancy and fault tolerance.
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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.
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NoSQL:
- Flexible, fast, suitable for unstructured data.
- Used when data is constantly evolving.
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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!
