Flattening Nested Data in Spark with the Explode Function When working with big data, it’s common to encounter nested data structures like arrays or maps. These structures are useful for storing complex relationships but can…
Streamlining ETL Pipelines: Dynamically Calculating Yesterday’s Date As a data engineer, one of the most common tasks is building ETL pipelines that process data from the previous day. While it may seem simple to manually…
Databricks continues to innovate and enhance the data engineering experience, and their recent introduction of SQL parameters is no exception. This simple yet powerful feature can revolutionize the way you write and interact with SQL…
If you’re working with data on Databricks and need access to Netherlands GDP information, you’re in luck! The CBS (Statistics Netherlands) offers free and easy access to this data via its Python library, cbsodata. In…
Are you a football enthusiast or developer looking to dive deep into the world of football data? Whether you’re developing an app, conducting sports research, or just an avid fan, accessing detailed football data is…
