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Presto Federation

⬢ LIVELLO 3Tecniche
Alto
Impatto sullo stipendio
6 mesi
Tempo di apprendimento
Difficile
Difficoltà
1
Carriere
In sintesi

Presto Federation extends Presto's query engine to enable federated SQL queries across multiple databases (PostgreSQL, MySQL, Oracle, Cassandra) without ETL. Used by data engineers and analysts at scale. Salary: $150k–$280k USD. Time to learn: 6 months. Sits adjacent to query-optimization and distributed-systems.

Cos'è Presto Federation

Presto Federation is an advanced extension of Presto (and Trino) that allows you to query data across multiple databases and data sources in a single SQL statement without moving the data. Instead of centralizing data through ETL, you connect Presto to each source (PostgreSQL, MySQL, Cassandra, Hive, etc.) and write queries that transparently join and aggregate across them. The federated architecture uses a coordinator node to parse and plan queries, and worker nodes that push predicates down to each source database for efficient execution. This is particularly powerful for organizations with polyglot data stacks, data spread across legacy relational databases, modern data warehouses, and NoSQL systems.

🔧 STRUMENTI ED ECOSISTEMA
Presto CoordinatorPresto WorkersKubernetes (orchestration)DockerS3/Object StoragePostgreSQL/MySQLCassandraGrafana

📋 Prima di iniziare

Database Design

💰 Stipendio per regione

RegioneLivello baseMidLivello esperto
USA$95k$150k$240k
UK£55k£90k£140k
EU€60k€95k€145k
CANADAC$85kC$130kC$210k

🎯 Carriere che usano Presto Federation

Database Administrator

❓ Domande frequenti

What's the difference between Presto and Trino?
Presto is maintained by Meta; Trino is the community fork (post-2020 split). Both are query engines. Trino is more active in open-source development. Both support federation.
Do I need to learn Presto if I know Spark?
Spark is batch-focused; Presto is interactive SQL. If you're doing real-time queries across heterogeneous sources, Presto adds unique value. Complementary skills, not replacement.
Is Presto Federation harder than Snowflake?
Different paradigm. Snowflake abstracts away infrastructure; Presto requires hands-on tuning of coordinators, workers, and catalogs. Presto Federation is more hands-on.
What's a realistic timeline to become productive?
4 weeks to deploy a working cluster and write basic federated queries. 3–6 months to optimize performance, tune memory, and handle failures in production.
How much DevOps knowledge do I need?
Moderate. You'll need to understand Kubernetes basics, networking, resource allocation, and logs. Not as deep as full DevOps, but more than pure SQL.

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