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A Reflection On Learning A Lot More Than 97 Things Every Data Engineer Should Know

Data Engineering Podcast

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Streaming and Batching in Machine Learning

There are always going to be opportunities to bring in additional data sources at addition context enrich the data, find new ways of axising the data. So there's no real stopping point with data. And so moving into some of the microscopic elements of data engineering and the data industry,. Some of the things that were discussed in the book are the continued dicodome of batch systems and streaming systems. For a long time we didn't have a lot of the capacity to do large scale streaming analytics because the technology wasn't there yet. But that is increasingly not the case, where we have a number of different streaming engines.

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