SQL on Hadoop in Taiwan
This document discusses SQL engines for Hadoop, including Hive, Presto, and Impala. Hive is best for batch jobs due to its stability. Presto provides interactive queries across data sources and is easier to manage than Hive with Tez. Presto's distributed architecture allows queries to run in parallel across nodes. It supports pluggable connectors to access different data stores and has language bi
Presto - Hadoop Conference Japan 2014
Presto is a distributed SQL query engine that allows for interactive analysis of large datasets across various data sources. It was created at Facebook to enable interactive querying of data in HDFS and Hive, which were too slow for interactive use. Presto addresses problems with existing solutions like Hive being too slow, the need to copy data for analysis, and high costs of commercial databases
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SQL on Hadoop 比較検証 【2014月11日における検証レポート】
