Data engineering
Our articles offer strategies to keep your systems lean, fast, and ready for tomorrow’s demands. From pipelines to integration, we provide insights that let you reshape how your data moves and performs at scale.
Newest articles
Back in the early 2000s, Martin Odersky—who had already contributed to Java’s generics—wanted to create something to address the shortcomings of Java. So he built Scala.
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You’re deep into an ETL project, and suddenly, data discrepancies start to surface.
Reports don’t match up, and dashboards look off.
Frustrating, right?
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Data-driven companies don’t rely on a single source of information. They pull insights from competitor data, open datasets, proprietary reports, and industry aggregators.
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Turning PDF into text is tricky.
Sometimes, the text isn’t even text—it’s embedded in images.
Other times, the formatting turns into a mess as you try to process it.
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Businesses generate and collect massive amounts of data. In 2024, this number has reached 149 zettabytes.
But raw data alone doesn’t do any good.
...Trending articles
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