Azure Databricks? Different Ways to Create Data Frame’sin Pyspark.
Introduction: In Azure Databricks Data Frames are an essential component of data processing and analysis in PySpark, a powerful tool for handling big data. They provide a structured and efficient way to organize data, resembling tables in relational databases or data frames in Python's panda library. In this article, we'll delve into what data frames are and explore various methods to create them in PySpark. Azure Data Engineer Online Training Understanding Data Frames · Data Frames in PySpark are distributed collections of data organized into named columns, similar to a table in a relational database or a spreadsheet. · They offer a high-level abstraction, making it easier to work with structured and semi-structured data. Data Frames support various operations like filtering, aggregation, joining, and sorting, making them versatile for data manipulation tasks. Azure Da...