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ټول مهارتونه

Trino Presto SQL

⬢ درجه 2تخنیکي
لوړ
د معاش اغېز
4 میاشتې
د زده کړې وخت
منځنی
سختوالی
3
مسلکونه
په یوه نظر

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.

Trino Presto SQL څه شی دی

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.

🔧 وسیلې او ایکوسیستم
TrinoPrestoSQLHDFSHivePostgreSQLRedshiftS3DBeaverJupyter

💰 د سیمې له مخې معاش

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

🎯 هغه مسلکونه چې Trino Presto SQL کاروي

❓ ډېرې پوښتل شوې پوښتنې

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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