Cost Analysis with Presto COST IT Module

• Experience with SQL

Audience

• Data Scientists

Presto is a distributed query engine for big data analytics. Using Presto, users can natively query data, access data from multiple systems, and more.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists who wish to learn how to utilize the COST IT module of Presto for cost analysis.

By the end of this training, participants will be able to:

• Understand the fundamentals of Presto and its role in big data analytics.
• Gain proficiency in using Presto's COST IT module for cost analysis.
• Optimize Presto queries for improved performance and resource utilization.
• Identify and implement cost-based optimizations in Presto.
• Troubleshoot and resolve common performance and cost-related issues in Presto.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

• Overview of Presto and its architecture
• Introduction to the COST IT module

Cost Analysis

• Understanding cost analysis in big data environments
• Cost factors and considerations in Presto

Query Optimization

• Presto query optimization techniques
• Analyzing query execution plans
• Identifying performance bottlenecks
• Leveraging Presto's optimization features
• Cost estimation and analysis for queries

Cost-Based Optimizations and Best Practices

• Introduction to cost-based optimizations
• Implementing cost-based join optimizations
• Partition pruning and predicate pushdown techniques
• Dynamic filtering and query rewriting
• Managing costs and resource allocation
• Troubleshooting performance and cost-related issues

Summary and Next Steps