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Trino Presto SQL

⬢ श्रेणी 2तांत्रिक
उच्च
पगारावरील परिणाम
4 महिने
शिकण्यास लागणारा वेळ
मध्यम
काठिण्य
3
करिअर्स
एका दृष्टिक्षेपात

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 म्हणजे काय

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.

🔧 साधने आणि परिसंस्था
TrinoPrestoSQLHDFSHivePostgreSQLRedshiftS3DBeaverJupyter

💰 प्रदेशानुसार पगार

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

🎯 Trino Presto SQL वापरणारी करिअर

Backend Developer
Database Administrator
Full Stack Developer

❓ FAQ

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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