Querying Data with Trino

Mastering SQL, Optimization, and Data Integration for High-Performance Data Queries

Duration

2 days (8 hours per day)

Level

Basic Level

Design and Tailor this course

As per your team needs

Edit Content

This course is designed to provide participants with a comprehensive understanding of Trino (formerly Presto SQL), a powerful distributed SQL query engine. Participants will learn to develop and optimize queries, integrate Trino with various data sources, and implement performance tuning and best practices. The hands-on approach will ensure that learners gain practical experience in real-world scenarios.

Edit Content

Introduction to Trino

Overview of Trino and its architecture
Differences between Trino and traditional SQL engines
Installation and configuration of Trino
Introduction to the Trino CLI and web interface
Hands-on Demo:
- Setting up a Trino environment
- Basic queries using Trino CLI and web interface

Trino SQL Basics

Basic SQL commands and syntax
Data types and operators in Trino
Creating and managing tables
Inserting, updating, and deleting data
Hands-on Demo:
- Writing and executing basic SQL queries
- Table creation and data manipulation exercises

Advanced Trino SQL Features

Subqueries and common table expressions (CTEs)
Window functions and analytical queries
Using Trino functions and operators for complex queries
Handling JSON and semi-structured data in Trino
Hands-on Demo:
- Implementing advanced SQL queries
- Analyzing data using window functions and CTEs

Query Optimization Techniques

Understanding Trino’s query execution plan
- EXPLAIN command
Indexing and partitioning strategies
Query rewriting and optimization
Common performance pitfalls and solutions
Hands-on Demo:
- Analyzing and optimizing query execution plans
- Practical exercises on query performance tuning

Connecting Trino to Different Data Sources

Overview of supported data sources
Overview of Trino connectors
Configuring connectors
- Hive, Kafka, MySQL, etc.
Integrating Trino with data lakes (e.g., HDFS, S3)
Accessing NoSQL databases and other data sources via Trino
Data federation and cross-source queries
Security considerations and authentication methods
Hands-on Demo:
- Setting up connections to various data sources
- Querying data from different sources using Trino

Performance Tuning and Best Practices

Performance tuning strategies
- Resource allocation and management
- Memory and CPU optimization
Monitoring and troubleshooting
- Using Trino’s monitoring tools
Best practices for high performance and scalability
- Query writing best practices
- Infrastructure and deployment considerations
Hands-on Demo:
- Implementing performance tuning techniques
- Monitoring and troubleshooting Trino queries in real-time

Hands-On Projects and Case Studies

Real-world scenarios and problem-solving
Designing and optimizing complex queries
Integrating Trino with enterprise data systems
Performance analysis and tuning exercises

Edit Content

FIND YOUR COURSE

Topics

Brands

Querying Data with Trino

Duration

Level

Design and Tailor this course

Quick Links

our Offerings

Get in touch

Sign up for DataCouch Communications

Connect

we'd love to have your feedback on your experience so far