Test your knowledge

Q01. What are the main features of the Parquet format?Q02. What are the benefits and limitations of the native Parquet connector in Power BI?Q03. What’s the difference between predicate pushdown and partition pruning?Q04. How do you explain the differences in performance between Dask and PyArrow?Q05. Is there a specific API to transform referenced data from an Arrow dataset into R?

Answers

A01. Parquet is an open-source columnar storage format designed to optimize file efficiency. It stores data in a columnar format, which allows for efficient compression and encoding of data, resulting in faster query execution times and reduced storage requirements. Parquet can handle complex data structures and uses binary encoding to enhance data security. It is compatible with interactive and serverless technologies like Azure Synapse Analytics and Azure Databricks and Fabric and can be used in Power BI with Python and R. Basically, Parquet is a high-performance storage...