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
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As per your team needs
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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.
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- Data Analysts
- Data Engineers
- Database Administrators
- Data Scientists
- IT Professionals interested in data querying and integration
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- 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
- 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
- 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
- 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
- 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 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
- Real-world scenarios and problem-solving
- Designing and optimizing complex queries
- Integrating Trino with enterprise data systems
- Performance analysis and tuning exercises
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- Basic knowledge of SQL
- Familiarity with data warehousing concepts
- Understanding of distributed computing principles
- Prior experience with database management systems (DBMS) is beneficial
