PySpark Interview Questions for a Data Engineer If you're interviewing for a data engineering role, expect questions that assess your ability to design, optimize, and troubleshoot PySpark applications in a prod
We can use them with Spark SQL and queries to perform data manipulation and analysis. Machine learning libraries: Using PySpark's MLlib library, we can build and use scalable machine learning models for tasks such as classification and regression. Support different data formats: PySpark provides ...
* Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc. * Strong experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools. ...