Q. What is the drawback of following straightforward policies like fixed lifetime for keeping records in Big Data management?

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Q. What is one potentially viable approach to forgetting in data management?

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Q. What does the approach of "forgetting before storing" propose?

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Q. What is data contextualization primarily concerned with in the context of the Big Data?

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Q. What does data contextualization involve transforming data from and into?

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Q. What is the primary benefit of using dynamic contextualization in knowledge discovery?

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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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