4. Difference between delta and parquet?

Question

Accepted Answer

Delta is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads, while Parquet is a columnar storage format optimized for reading and writing data in large volumes.

Delta is designed for use with big data workloads and provides ACID transactions, while Parquet is optimized for reading and writing large volumes of data efficiently.
Delta allows for updates and deletes of data, while Parquet is a read-only format.
Delta supports schema evolution, allowing for changes to the data schema over time, while Parquet requires a predefined schema.
Delta can be used for streaming data processing, while Parquet is typically used for batch processing.

Accepted Answer

Delta is basically a open storage format that helps to store tables in parquet formats which is a column based storage format and all the tables created in delta are of parquet type

4. Difference between delta and parquet?

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