Pipelines full of insights
Getting value from data starts with a good data platform
Without good data engineering behind the scenes, no data scientist can convert your company’s data into actionable insights. The core of data engineering is creating data pipelines that reliably and efficiently deliver data for analysis. Organizations process (sometimes without knowing it) substantial data streams. Processing all that data to turn it into something useful is a significant challenge. In addition, the essential tools and techniques involved in data engineering are constantly being updated. There are dozens of interfaces with, among other things, non-relational databases, cloud infrastructure and distribution systems.
This is what a data engineer should be able to do!
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Checklist: Where to start your data management journey?
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Building a digital assistant to help you stay out of debt
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From assistant professor to esteemed data engineer at ASML
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Next level matchmaking with the LINKIT traineeship for data engineers
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