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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Q. What is the main reason for the shift of Big Data services to the cloud?

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Q. What is the primary advantage of cloud computing for Big Data processing?

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Q. Which cloud computing model provides computing resources in a pay-per-use way?

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Q. What is the benefit of using ready-to-use Big Data services in the cloud?

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Q. What remains a significant issue when transferring data to the cloud for Big Data processing?

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Q. What technology is responsible for the high-frequency measurements and real-time data processing in the context of energy production and distribution?

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Q. Why do Big Data management techniques become crucial in the management of smart grids with high penetration levels of renewable energy sources (RES)?

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Q. What is the Intelligent Distributed Data Processing (IDDP), and why is it important in the context of energy production from renewable sources?

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