AWS Certified Data Analytics Specialty 2021 - Hands-On! - Presto on Amazon Elastic MapReduce (EMR)

The video tutorial explains Presto, a tool for executing SQL-style queries across various big data databases. Presto allows for interactive queries at petabyte scale and is optimized for OLAP applications. Originally developed by Facebook, it is open-source and used by Amazon Athena. Presto supports multiple interfaces and connectors, enabling integration with various data sources. It is faster than Hive and easy to set up on Amazon EMR. However, it is not suitable for OLTP or batch processing. Presto processes data in memory, avoiding unnecessary IO overhead, making it efficient for analytical queries.

Why is Presto considered faster than Hive?

In what scenarios is Presto not an appropriate choice for data processing?