Explain the roles of Data Science, Machine Learning Engineering, and Data Engineering within the big data paradigm. How do these roles differ from each other? Explain the significance of the “Three Vs” (Volume, Velocity, and Variety) in big data and how each of these aspects influences the design and deployment of data processing systems. Use specific examples to demonstrate the challenges and solutions associated with each characteristic Compare and contrast supervised, unsupervised, and reinforcement learning in machine learning. Provide real-world examples where each type of learning would be most applicable, and explain the underlying mechanisms of how these learning styles process and interpret data.

When is it recommended to use NoSQL in place of the normal database? Write down the NoSQL’s features.