10 Questions
What does RDBMS stand for?
Relational Database Management System
How is Hadoop different from a traditional RDBMS?
Hadoop is not a database, but a software framework for storing and processing large amounts of data
Which of the following is not a challenge associated with big data analytics in distributed computing?
Data Integrity
What is the primary benefit of using distributed computing for big data analytics?
Improved data processing and analysis
Which of the following is not a challenge associated with distributed computing for big data analytics?
Data Normalization
What is the primary purpose of the Apache Hadoop software library?
To provide a framework for distributed processing of large datasets across clusters of computers
Which of the following is not a key component of the Apache Hadoop platform?
Relational Database Management System (RDBMS)
What is the primary function of the HDFS (Hadoop Distributed File System) component in the Apache Hadoop platform?
To store large amounts of data across multiple machines
What is the primary function of the YARN (Yet Another Resource Negotiator) component in the Apache Hadoop platform?
To manage the allocation of resources (such as CPU and memory) for processing the data stored in HDFS
How does the Apache Hadoop platform differ from a Relational Database Management System (RDBMS) in terms of scalability?
Hadoop is designed to scale up from single servers to thousands of machines, while RDBMS is limited to a single server
Learn about Apache Hadoop, an open-source software framework for processing and storing big data in a distributed computing environment. Explore its architecture, programming models, and components.
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