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Questions and Answers
Which term describes data that cannot be efficiently processed by traditional data management systems?
What type of data is structured and has a fixed format?
Which characteristic of Big Data refers to the enormous volume of information generated every second?
Which characteristic describes the different sources and formats of data, including both structured and unstructured types?
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What does 'velocity' in the context of Big Data refer to?
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Which term describes data that lacks a defined structure?
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In the context of Big Data, what does 'veracity' indicate?
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Which of the following is NOT a type of data?
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What purpose do maps serve for businesses according to the provided information?
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What is one primary benefit of utilizing big data processing for businesses?
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Which of the following best describes the function of distributed file systems?
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What is a key feature of NoSQL databases?
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Which collection method captures data related to consumer purchasing behavior?
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What distinguishes a data lake from a traditional data warehouse?
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What type of data is typically collected through website interactions?
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Which protocol is specifically designed for high volume transfer of large datasets over high speed WAN?
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Why are loyalty cards beneficial for businesses?
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Which aspect is essential when considering big data storage?
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What are some concerns introduced by big data storage?
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When storing data off-site, what critical decisions must enterprises consider?
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What is a primary purpose of social media analytics?
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Which of the following statements about big data collection methods is true?
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In what environment is cloud computing primarily utilized?
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What percentage of internet users are social network users?
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Study Notes
Introduction to Big Data
- Big Data is a massive collection of data that grows rapidly over time.
- Traditional data management systems struggle to store and process Big Data.
- The New York Stock Exchange generates 1 terabyte of trade data per day.
- Social media generates over 500 terabytes of new data daily.
- A single jet engine can generate over 10 terabytes of data in 30 minutes of flight.
Types of Big Data
- Structured Data: Stored in fixed formats, easily accessed and processed. Examples include data in databases and spreadsheets.
- Unstructured Data: Data lacking a defined structure, like text files, images, and videos. Requires organization before processing.
- Semi-structured Data: Combines elements of both structured and unstructured data. Examples include XML and JSON.
The 6 V's of Big Data
- Volume: Refers to the immense size of Big Data. The data comes from various sources, including social media, mobile devices, and sensor networks.
- Variety: The heterogeneity of data sources and formats, including structured, semi-structured, and unstructured data.
- Velocity: The speed at which data is generated and processed.
- Variability: The inconsistency of data, which can impact data processing and management.
- Veracity: The trustworthiness and reliability of the data.
- Value: The importance of insights derived from data analysis. Understanding the value of data is crucial for effective decision-making.
Benefits of Big Data Processing
- Improved Decision-Making: Businesses can use Big Data to gain a deeper understanding of customer behavior and market trends.
- Enhanced Customer Service: Big Data can help organizations personalize customer experiences and provide better support.
- Risk Identification: Early detection of potential risks helps companies mitigate potential problems.
- Operational Efficiency: Big Data can optimize business processes and improve overall performance.
Big Data Infrastructure and Services
- Data Collection: Collecting data from various sources, including transactional data, online analytics, social media, loyalty programs, and maps.
- Data Storage: Storing vast amounts of data using distributed file systems like Hadoop, NoSQL databases like MongoDB, and cloud storage solutions.
- Data Transmission: Efficiently moving large datasets using protocols like RMDT, UDT, and QUIC.
Impact of Storing Big Data
- Access: Determining who has access to the data both within and outside the organization.
- Transmission Time: Ensuring efficient data transfer between storage and processing locations.
- Security: Protecting sensitive data from unauthorized access and cyber threats.
- Processing Time: Efficiently analyzing large datasets for insights and decision-making.
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Description
Test your knowledge on the fundamentals of Big Data. This quiz covers types of Big Data, the immense volume it generates, and the challenges faced in managing it. Explore the key concepts that define and shape the landscape of Big Data today.
