AWS Certified Data Analytics Specialty 2021 – Hands-On - Presto on EMR

Presto is a powerful tool that connects to various big data databases, allowing SQL-style queries across them. It supports interactive queries at petabyte scale and is optimized for OLAP applications. Originally developed by Facebook, Presto is open-source and used by Amazon Athena. It offers interfaces like JDBC and Tableau, and supports connectors for HDFS, S3, Cassandra, and more. Presto is faster than Hive and integrates easily with Amazon EMR, but is not suitable for OLTP or batch processing.

What is the primary function of Presto in relation to big data databases?

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How does Presto handle queries across different data sources?

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What are some of the data sources that Presto can connect to?

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What advantages does Presto offer for analytical queries compared to Hive?

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

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