DENG-257: Trino for Enterprise Data Federation: Unified Analytics with Cloudera

In this 2-day instructor-led training, participants will learn how to address the challenges of modern data architectures.

Modern enterprises struggle with fragmented data spread across data lakes, warehouses, and operational systems. Traditional ETL pipelines introduce latency, increase costs, and slow decision-making.

This training enables organizations to adopt real-time data federation using Trino, allowing teams to query distributed data sources instantly—without duplication or movement.

Participants will learn how to build enterprise-grade federated analytics architectures that reduce data engineering overhead, accelerate insights, and unlock business value from existing data ecosystems.

Business Value & Outcomes

By the end of this training, organizations can:

• Eliminate ETL bottlenecks and reduce pipeline complexity through query-in-place federation

• Accelerate time-to-insight from hours/days to seconds with real-time distributed querying

• Reduce data movement and infrastructure costs by avoiding unnecessary data duplication

• Enable real-time, cross-system analytics across data lakes, databases, and cloud platforms

• Improve governance, security, and team productivity through unified and controlled data access

Enterprise Use Case

Real-Time Fraud Detection (Banking)

• Analyze transactions and customer data across multiple systems in real time using Trino-based federation — without data movement.

• Outcome: Faster fraud detection, unified insights, and reduced infrastructure cost

Capabilities You Will Build

• Design enterprise-grade data federation architectures across systems

• Execute and optimize high-performance distributed SQL queries

• Configure and manage Trino connectors for cross-system access

• Diagnose and resolve query bottlenecks and performance issues

• Build scalable, production-ready federation solutions

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