Q. What is the primary purpose of data compression in the context of Big Data?

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Q. When is lossy compression typically applied to data?

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Q. What are the four major functional areas of autonomic computing according to IBM?

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Q. What is the primary benefit of sharing knowledge within a group?

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Q. How does knowledge evolve in a social context?

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Q. What is the role of ontologies in understanding Big Data?

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Q. Why is it important to treat Big Data processing as an ecosystem of evolving processing entities?

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Q. What is the primary challenge faced by traditional relational database management technologies when dealing with big data analytics?

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Q. How do companies like Facebook and Twitter achieve scalability for their MySQL installations?

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Q. What is the main difference between vertical scalability and horizontal scalability with database products?

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Q. What should be considered when constructing Big Data systems on premise?

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Q. What is the advantage of most Big Data systems when it comes to data structure?

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Q. Why should transformations that cause less latency be preferred within the Big Data domain?

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Q. What is the primary consideration for scaling Big Data systems to match data growth patterns?

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Q. Which type of scalability involves adding more capacity to a single machine?

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Q. What does sharding involve in the context of database scalability?

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Q. Which layer is considered the most vital among the three layers in the overall infrastructure for many Internet companies?

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Q. What is used as the scalable file system at the bottom of the Storage & Processing layer?

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Q. What is the purpose of a dataflow programming framework in the Storage & Processing layer?

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Q. Why is debugging large-scale data in Internet firms crucial?

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