5 most common mistakes in data joins
If you deal with transforming data, even occasionally, it is impossible to avoid joins - when two tables are merged into one. Whether we like it or not, the data involved frequently comes from...
If you deal with transforming data, even occasionally, it is impossible to avoid joins - when two tables are merged into one. Whether we like it or not, the data involved frequently comes from...
Our mission has evolved in a quite interesting direction. But to explain what has changed, let me start with a bit of historical perspective:
2026 is approaching fast. What will it look like for data & analytics? Start preparing in advance with us at our webinar on December 3, 2025 where we will look at some facts and numbers backed by...
When version 5.9.7 was released back in September, I told you that it would be the last release for EasyMorph version 5 and that the next release would be version 6. With so many improvements and new...
Understanding datasets in EasyMorph can be a bit tricky at first - especially the difference between computed and pre-computed datasets. Each has it's own pro's and con's which you must understand to...
Today, data teams are often divided between those who code in Python and those who rely on visual workflows. For many Python developers, data science projects often start strong, but scaling and...
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