Data transformation is an essential step in the data processing pipeline, especially when working with big data platforms like PySpark. In this article, we’ll explore the different types of data transformations you can perform using PySpark, complete with easy-to-understand code Read More …
Tag: Big Data
Data Engineering Learning Path
This revamped curriculum outlines the key areas of focus and estimated timeframes for mastering data engineering skills. Foundational Knowledge (1-3 weeks) Data Modeling (2-4 weeks) Data Storage (3-5 weeks) Data Processing (2-4 weeks) Data Integration (4-8 weeks) Data Transformation (4-6 Read More …
U-SQL Table
Azure Data Lake Analytics (U-SQL) originates from the world of Big Data, in which data is processed in a scale-out manner by using multiple nodes. These nodes can access the data in several formats, from flat files to U-SQL tables. Read More …