Margriet Groenendijk

Developer Advocate at IBM Watson Data Platform

Margriet is a Data Scientist and Developer Advocate for IBM. She has a background in climate research where she explored large observational datasets and the output of global scale weather and climate models. Now she explores ways to simplify working with diverse data using cloud databases, data warehouses, Spark, and Python notebooks.

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The Convergence of Data Science and Software Development

In order to move past the hype and achieve the full potential of machine learning, data scientists and software developers need to work more closely together towards their common goal of delivering well-architected, data-driven applications. It is in the collaboration between data scientists and software developers where the real value can be found by creating integrated data workflows that benefit from the unique knowledge and skillsets of each discipline.