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Trino Presto SQL

⬢ LIVELLO 2Tecniche
Alto
Impatto sullo stipendio
4 mesi
Tempo di apprendimento
Medio
Difficoltà
3
Carriere
In sintesi

Trino (formerly Presto) is a distributed SQL query engine for querying data across Hadoop, data warehouses, and cloud storage without moving data. Used by data engineers and analytics teams. Salary: $85-135k junior, $140-210k mid, $220-320k senior. Learn in 4-6 weeks. Adjacent to SQL mastery, big data, and data warehousing.

Cos'è Trino Presto SQL

Trino (formerly Presto) is a distributed SQL query engine that lets you query data wherever it lives, Hadoop clusters, data warehouses, cloud storage, databases, without moving data. You write standard SQL and Trino optimizes and distributes the query across multiple sources and workers. It's especially valuable for organizations with data scattered across multiple systems (Postgres, Snowflake, S3, Hive) who want unified analytics without ETL.

🔧 STRUMENTI ED ECOSISTEMA
TrinoPrestoSQLHDFSHivePostgreSQLRedshiftS3DBeaverJupyter

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$85k$170k$280k
UK£60k£120k£190k
EU€65k€130k€210k
CANADAC$80kC$155kC$250k

🎯 Carriere che usano Trino Presto SQL

❓ Domande frequenti

How does Trino differ from Spark SQL?
Trino is query-first (OLAP), optimized for analytics. Spark is compute-first, better for data processing pipelines. Trino is faster for ad-hoc queries; Spark is better for jobs.
Can I query multiple databases in one query?
Yes. Trino's core feature is querying across sources. Join tables from Postgres, S3, Hive, Redshift in a single query. Data doesn't move; only results come back.
What's a connector?
Connectors translate between Trino and data sources (Postgres, Hive, S3, Iceberg). Trino can query any source with a connector without copying data.
How fast is Trino?
Trino is optimized for fast OLAP queries (< 1 minute for most). It's slower than specialized databases for specific domains but faster for cross-source queries.
Can I write data with Trino?
Trino is read-optimized. Some connectors allow writes (CREATE TABLE, INSERT) but it's not the focus. For writes, use native tools.

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