Exam Certified Data Engineer Professional topic 1 question 109 discussion

Date is usually best candidate for time series data without further specifications

Partitioning a Delta Lake table on the date column is a common practice. This is because partitioning by date can significantly improve query performance when dealing with time-series data. It allows for efficient filtering of data based on time periods, which is a common requirement in many analytics workloads. Partitioning by date also helps manage the size of your partitions, as each partition will contain only the data for a specific date. This can lead to more efficient reads and writes, and can also make it easier to manage and maintain your data.