From housing data on a single server to global, distributed storage with zettabytes of available data. Over the past 20 years we have continued to modify the underlying architecture to match our desire to store more data. We use this data in consumer hyper personalization, detect vulnerabilities and data breaches, and to have a higher level of confidence in the answers to our questions. As we collect more data to address the questions from today, consumer expectations shift again and have more complicated questions tomorrow. Just when we think we have enough data, the line in sand moves again. In fact, the line is moving so much these days, one could say it doesn't really exist anymore. My guest today is Laura Ellis, who originally thought she was destined to become a teacher. Today she is a data engineering & platform analytics executive who started her professional career in technology and recently received CDO executive certificate. She is also the founder of the Blog 'Little Miss Data', focusing on living out loud and talking about all things data. In her spare time, Laura produces and hosts the annual event (for the past 3 years) 'Data Mishaps'. This event is a virtual, safe space where data mistakes are shared to learn from each other. With ~400 participating in the last event it is becoming a much anticipated event each year. Topics discussed today are: - What is cybersecurity - the simple definition - Is the role of data engineering different than a data scientist - How has the interpretation of data changed over the years - Is there a business case for dark data - Pivoting into a data profession - The value of returning to school after 15+ years