Topic: How Data Modelers Can Save Their Jobs in NoSQL Environments. Sponsored by DataStax.
Data modeling emerged in the 1970’s in response to the needs of database designers. This accident of history has influenced perceptions and practices of data modeling in harmful ways. Most notably, business-focused requirements analysis has been wrongly commingled with relational modeling. Compounding the problem, vendors have produced data-modeling tools that blur the important distinction between the client’s problem and the technologist’s solution.
Enter NoSQL, with its promise of liberating practitioners from the tiresome burden of designing relational databases. The chance to dispense with relational modeling was embraced enthusiastically, but for many organizations, it has meant discarding the only rigorous activity that had any hope of formally expressing the client’s data needs. This is a textbook case of throwing out the baby with the bathwater. This presentation shows you how to save the baby, and your career as a data modeler.
Data Modelers Still Have Jobs: Adjusting For the NoSQL Environment | DataStax
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