Companies use their data to accelerate business growth and overtake their competitors. To achieve this, they invest a lot in their ETL (extract-transform-load) operations, which take raw data and transform it into actionable information. It’s no wonder, then, that ETL testing is a crucial part of a well-functioning ETL process, since the ETL process generates mission-critical data.

Random forest is one of the most widely used machine learning algorithms in real production settings.

The decision tree algorithm - used within an ensemble method like the random forest - is one of the most widely used machine learning algorithms in real production settings.

Cluster analysis is a process used in artificial intelligence and data mining to discover the hidden structure in your data. There is no single cluster analysis algorithm. Instead, data practitioners choose the algorithm which best fits their needs for structure discovery. Here, we present a comprehensive overview of cluster analysis, which can be used as a guide for both beginners and advanced data scientists.