Interview with Laura Lacarra
summary
Laura Lacarra gives practical advice on choosing a Big Data architecture, recommending that companies evaluate scalability, data volume and processing needs to pick appropriate technologies (e.g., batch vs. stream processing and scalable storage). She explains how to handle sensitive or private data through governance and protection measures, and defines impostor syndrome as self-doubt despite competence, offering strategies to combat it such as recognizing accomplishments and seeking peer support.
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