Q. How is "Big Data" defined in terms of its size and handling?

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Q. What is the primary challenge of managing Big Data in traditional databases?

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Q. What is the main purpose of a data warehouse?

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Q. What is one of the key features of a data warehouse?

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Q. Why is an increase in the complexity of systems management challenging in the context of Big Data?

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Q. What is the prevailing database model today?

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Q. What is a limitation of the relational database model when dealing with large datasets?

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Q. What is the impact of suboptimal access patterns on Big Data applications?

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Q. Why do most Internet companies like Google and Facebook not rely on traditional RDBMS technology for Big Data applications?

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Q. What is NoSQL in the context of database management systems?

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Q. What is the main inspiration behind the MapReduce programming model?

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Q. What is the primary purpose of the Map step in MapReduce?

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Q. What is Hadoop's approach to achieving high availability in distributed computing?

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Q. Which database system is designed to manage large amounts of structured data, allowing scaling across many commodity servers with no single point of failure?

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Q. Who originally developed Apache Cassandra?

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Q. What is the primary characteristic of HBase that distinguishes it from traditional RDBMS?

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Q. Which distributed file system is designed to store very large data sets reliably and stream them at high bandwidth to user applications?

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Q. What is the primary use of the R programming language?

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Q. What is one of R's strengths in terms of data visualization?

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Q. Which distributed database system is modeled on Google's Big Table and designed as a distributed, scalable, and Big Data store?

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