Podcast
Questions and Answers
What is a true benefit of using MapReduce compared to RDBMS?
What is a true benefit of using MapReduce compared to RDBMS?
- MapReduce can be used to retrieve data faster using an index compared to RDBMS.
- MapReduce is more scalable than RDBMS and therefore can handle larger datasets than RDBMS. (correct)
- MapReduce performs query optimisation and therefore can execute queries faster than RDBMS.
- MapReduce always runs faster than RDBMS.
What is a key advantage of MapReduce over RDBMS according to the text?
What is a key advantage of MapReduce over RDBMS according to the text?
- MapReduce supports complex transactional operations more effectively than RDBMS.
- MapReduce provides real-time data analytics compared to RDBMS.
- MapReduce is fault-tolerant and can handle large-scale data processing efficiently. (correct)
- MapReduce ensures data consistency and integrity better than RDBMS.
What distinguishes MapReduce from RDBMS in terms of data processing?
What distinguishes MapReduce from RDBMS in terms of data processing?
- MapReduce ensures stronger data consistency across distributed systems than RDBMS.
- MapReduce is designed for parallel processing of large datasets, unlike RDBMS. (correct)
- MapReduce offers better support for ACID transactions compared to RDBMS.
- MapReduce provides a more flexible schema for data storage than RDBMS.
Which of the following statements about the benefits of MapReduce is false?
Which of the following statements about the benefits of MapReduce is false?
Which of the following is a true benefit of using local aggregation within MapReduce?
Which of the following is a true benefit of using local aggregation within MapReduce?
Given 1 million employee records (containing each employee's name, phone number, date of birth and company join date), which of the following problems will benefit the least from being solved using MapReduce?
Given 1 million employee records (containing each employee's name, phone number, date of birth and company join date), which of the following problems will benefit the least from being solved using MapReduce?
Which of the following statements about the way MapReduce works is false?
Which of the following statements about the way MapReduce works is false?
Study Notes
Benefits of MapReduce
- MapReduce can process large datasets in parallel, making it more efficient than RDBMS for big data processing
- MapReduce allows for flexible schema, which enables it to handle unstructured or semi-structured data, unlike RDBMS
- MapReduce can scale horizontally, making it suitable for handling large datasets
Key Advantage of MapReduce
- MapReduce can process large datasets in a distributed manner, making it more efficient for big data processing than RDBMS
Data Processing
- MapReduce is designed for batch processing large datasets, whereas RDBMS is designed for transactional processing
False Statement
- MapReduce is suitable for real-time data processing (FALSE: MapReduce is designed for batch processing)
Local Aggregation
- Local aggregation in MapReduce reduces the amount of data transferred between nodes, making it faster and more efficient
Inefficient Use of MapReduce
- Processing a small, structured dataset (e.g., 1 million employee records) would not benefit much from using MapReduce, as RDBMS would be more suitable for such a task
How MapReduce Works
- MapReduce does not use a master node to coordinate the entire process (FALSE: a master node, called the JobTracker, coordinates the entire process)
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Description
Test your knowledge about the benefits of using MapReduce compared to RDBMS with this quiz. Choose the correct option and learn about how MapReduce differs from RDBMS in handling data.
