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.

What is a key feature of Presto that allows it to handle data from multiple sources?

• It can perform SQL-style queries across different databases.

• It requires data to be in a single format.

• It uses a unique programming language.

• It only works with relational databases.

Which company originally developed Presto?

• Microsoft

• Google

• Facebook

• Amazon

What is Amazon Athena in relation to Presto?

• A serverless version of Presto

• A completely different tool with no relation

• A database management system

• A hardware component for Presto

Which of the following is NOT a data source that Presto can connect to?

• Excel

• MySQL

• Cassandra

• HDFS

Why is Presto not suitable for OLTP or batch processing?

• It is optimized for OLAP queries.

• It is too slow for these operations.

• It requires extensive configuration.

• It cannot connect to multiple data sources.