The genesis of this book began in 2012. Hadoop was being explored in mainstream organizations, and we believed that information architecture was about to be transformed. For many years, business intelligence and analytics solutions had centered on the enterprise data warehouse and data marts, and on the best practices for defining, populating, and analyzing the data in them. Optimal relational database design for structured data and managing the database had become the focus of many of these efforts. However, we saw that focus was changing.
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...o value the Customer and provide meaningful insights that fuel innovation around service, product development, messaging and experience. The role of Lead Data Scientist for CMI is integral in using a ...
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...tiative to implement optimal analysis contents that are relevant to client needs. He/she manages the functional administration of the various EU databases and ensuring consistency in methodology. He/s...
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