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So You Want to Be a Data Engineer?

The work of data engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. Data engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

2020 DATAVERSITY Top 20

With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]

Knowledge Graphs: Context, Compliance, and Connections

“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]

The Conceptual Model Strikes Back!

“You must unlearn what you have learned” (Master Yoda) The “conceptual” level of Data Modeling has been a stepchild for many years and is mostly forgotten in fast-paced delivery projects today. Since the mid-nineties the legacy toolbox basically offered software-engineering inspired diagramming tools, and they did not communicate well on the business level. Fortunately, a […]

Data Architect vs. Data Modeler vs. Data Engineer

Michael Bowers, author and Chief Data Architect at FairCom Corporation, initially set out to research three careers in his presentation titled Data Architect vs. Data Modeler vs. Data Engineer  for the DATAVERSITY® Data Architecture Online 2019 Conference. The process brought him to a wealth of information he would have appreciated much earlier in his career, […]

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