Title: BigQuery Optimization

Objective: - To understand the importance of optimizing BigQuery queries for improved performance and cost efficiency. - To learn various techniques and best practices for optimizing BigQuery queries. - To apply optimization techniques to real-world scenarios.

Duration: 90 minutes

Materials: - Computer with internet access - Google Cloud Platform (GCP) account with BigQuery access - Sample dataset (e.g., public BigQuery dataset or a custom dataset)

Lesson Plan:

1. Introduction (10 minutes) a. Welcome the participants and provide an overview of the lesson plan. b. Explain the importance of optimizing BigQuery queries for performance and cost efficiency. c. Discuss the potential challenges and benefits of query optimization.

2. Understanding BigQuery Optimization (20 minutes) a. Explain the basic concepts of BigQuery, such as tables, datasets, and queries. b. Discuss the factors that affect query performance, including data size, query complexity, and resource allocation. c. Introduce the concept of query execution plan and its significance in optimization.

3. Techniques for BigQuery Optimization (30 minutes) a. Discuss various optimization techniques, such as:
   • Partitioning and clustering tables
   • Using appropriate data types and schema design
   • Applying filters and predicates effectively
   • Utilizing query caching and result caching
   • Using query parameters and variable substitution b. Explain the benefits and trade-offs of each optimization technique. c. Provide examples and demonstrations to illustrate the impact of optimization techniques on query performance.
4. Best Practices for BigQuery Optimization (20 minutes) a. Present a set of best practices for optimizing BigQuery queries, including:
   • Avoiding SELECT * and unnecessary columns
   • Minimizing data movement and shuffling
   • Using appropriate JOIN and GROUP BY clauses
   • Monitoring and analyzing query performance using BigQuery tools b. Discuss the importance of query profiling and troubleshooting techniques. c. Encourage participants to share their experiences and challenges related to query optimization.

5. Hands-on Practice (20 minutes) a. Divide participants into small groups. b. Provide a sample dataset and a set of query scenarios. c. Instruct participants to optimize the given queries using the techniques and best practices discussed. d. Monitor and assist participants during the hands-on practice.

6. Wrap-up and Conclusion (10 minutes) a. Recap the key concepts, techniques, and best practices covered in the lesson. b. Emphasize the importance of continuous optimization and monitoring in BigQuery. c. Answer any remaining questions and provide additional resources for further learning.

Note: The duration of each section can be adjusted based on the participants’ prior knowledge and the level of detail desired.