#Google_BigQuery

Last updated    - V4 (13-Sep-2025)

Level	Topic	Subtopics
Basic	Introduction to BigQuery	What is BigQuery, Key Features, Use Cases, BigQuery vs Traditional Databases, Serverless Architecture
	BigQuery Console & UI	Web UI Overview, Query Editor, Job History, Project & Dataset Navigation, Schema Exploration
	Datasets & Tables	Creating Datasets, Creating Tables, Table Schema, Data Types, Partitioned & Clustered Tables
	SQL Basics in BigQuery	SELECT Statements, WHERE Clause, ORDER BY, LIMIT, GROUP BY, Aggregations
	Data Loading & Export	Loading CSV/JSON/Parquet, Streaming Inserts, Exporting Data, Storage Options
Intermediate	BigQuery Functions & Operators	String Functions, Date & Time Functions, Array Functions, JSON Functions, Mathematical Functions
	Joins & Subqueries	INNER JOIN, LEFT/RIGHT JOIN, CROSS JOIN, Self Joins, Nested Queries
	Views & Materialized Views	Creating Views, Benefits, Materialized Views, Use Cases, Performance Considerations
	Performance Optimization	Partitioning, Clustering, Query Caching, Table Decorators, Query Execution Plan
	BigQuery ML Basics	Introduction to BigQuery ML, Creating Models, Types of Models (Linear Regression, Classification), Training & Evaluation
Advanced	Advanced SQL Features	Window Functions, CTEs, Arrays, Structs, UNNEST, ARRAY_AGG, WITH Clauses
	BigQuery ML Advanced	Hyperparameter Tuning, Feature Engineering, Evaluation Metrics, Model Export, Predict Queries
	Security & Access Control	IAM Roles, Dataset/Table Permissions, Authorized Views, Row-Level Security, Column-Level Security
	Data Transfer & Integration	BigQuery Data Transfer Service, Cloud Storage, Google Analytics, External Data Sources, Federated Queries
	Scripting & Stored Procedures	BigQuery Scripting, Variables, Loops, IF/ELSE, Stored Procedures, Error Handling
Expert	Advanced BigQuery ML	Deep Learning Models, Time Series Forecasting, TensorFlow Integration, Vertex AI Integration, AutoML
	Cost Management & Optimization	Query Cost Estimation, Slot Reservations, Reservations & Flex Slots, Optimizing Storage & Queries
	BigQuery for Analytics & BI	Integrating with Looker, Data Studio, Tableau, Power BI, Real-time Analytics
	Multi-Region & Multi-Project Architecture	Data Replication, Cross-Project Queries, Federated Queries, Data Sharing Best Practices
	Emerging Trends & Best Practices	BigQuery Omni, BigLake, Serverless Analytics, Data Mesh, Governance, Performance Tuning

1. BigQuery Basics

1. What is Google BigQuery?
2. Explain key features of BigQuery.
3. Difference between BigQuery and traditional databases.
4. What is serverless architecture in BigQuery?
5. What are BigQuery datasets?
6. What are BigQuery tables?
7. How do you create a table in BigQuery?
8. Explain table schema and data types.
9. What are partitioned tables?
10. What are clustered tables?
11. How do you load data into BigQuery?
12. Difference between batch load and streaming inserts.
13. How do you export data from BigQuery?
14. Explain storage options in BigQuery.
15. How do you navigate the BigQuery console?
16. What is the query editor in BigQuery?
17. How do you view job history?
18. Explain SELECT statements in BigQuery SQL.
19. How do you use WHERE clauses?
20. How do you sort data using ORDER BY?
21. How do you limit query results?
22. How do you perform aggregations using GROUP BY?
23. Difference between BigQuery Standard SQL and Legacy SQL.
24. How do you explore schemas of existing tables?
25. How do you monitor query performance in BigQuery?

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2. Intermediate BigQuery

1. Explain common BigQuery functions: STRING, DATE, ARRAY functions.
2. How do you work with JSON data in BigQuery?
3. Difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, CROSS JOIN.
4. What is a subquery and how is it used?
5. How do you create views in BigQuery?
6. Difference between normal views and materialized views.
7. When should you use materialized views?
8. How do you optimize query performance?
9. What is query caching?
10. How do you use table decorators?
11. How do you implement clustering and partitioning for optimization?
12. Explain the BigQuery ML basics.
13. How do you create a linear regression model in BigQuery ML?
14. How do you create a classification model in BigQuery ML?
15. How do you train and evaluate a model in BigQuery ML?
16. How do you make predictions using BigQuery ML?
17. How do you integrate BigQuery with external tools?
18. Explain IAM roles and dataset permissions.
19. How do you use authorized views for security?
20. How do you implement row-level security?
21. How do you use column-level security?
22. Explain BigQuery Data Transfer Service.
23. How do you query external data sources?
24. How do you perform federated queries?
25. How do you schedule recurring queries in BigQuery?

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3. Advanced BigQuery

1. How do you use window functions in BigQuery?
2. What are CTEs and how are they used?
3. How do you work with arrays and structs?
4. How do you use the UNNEST function?
5. Explain ARRAY_AGG and ARRAY functions.
6. How do you write complex nested queries?
7. How do you create stored procedures in BigQuery?
8. How do you use scripting in BigQuery?
9. How do you handle errors in BigQuery scripts?
10. How do you perform hyperparameter tuning in BigQuery ML?
11. How do you engineer features in BigQuery ML?
12. How do you export trained models?
13. How do you use advanced evaluation metrics in BigQuery ML?
14. Explain integration with TensorFlow.
15. How do you use Vertex AI with BigQuery ML?
16. How do you manage query cost?
17. How do you optimize storage usage?
18. How do you implement efficient table design for large datasets?
19. How do you perform cross-dataset queries?
20. How do you monitor and log queries for performance analysis?
21. How do you handle streaming large datasets?
22. Explain best practices for query optimization.
23. How do you implement partition pruning?
24. How do you use approximate aggregation functions?
25. How do you manage multi-project BigQuery environments?

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4. Expert-Level BigQuery

1. How do you implement deep learning models with BigQuery ML?
2. How do you perform time series forecasting in BigQuery ML?
3. How do you integrate BigQuery ML with AutoML?
4. How do you handle multi-modal data analysis in BigQuery?
5. How do you implement BigQuery Omni for multi-cloud analytics?
6. How do you implement BigLake for unified data lake analytics?
7. How do you implement cost-effective query optimization at scale?
8. How do you implement real-time analytics with BigQuery?
9. How do you integrate BigQuery with Looker, Tableau, and Power BI?
10. How do you implement cross-region replication?
11. How do you design multi-project architecture for large enterprises?
12. How do you implement federated queries across multiple clouds?
13. How do you implement secure data sharing in BigQuery?
14. How do you perform data governance and access auditing?
15. How do you implement monitoring and alerts for large datasets?
16. How do you handle query concurrency and slot management?
17. How do you manage reservation and flex slots for optimization?
18. How do you implement advanced security controls for sensitive data?
19. How do you integrate AI/ML pipelines with BigQuery?
20. How do you benchmark BigQuery for enterprise workloads?
21. How do you debug complex queries at scale?
22. How do you implement disaster recovery and backup strategies?
23. What are best practices for BigQuery performance tuning?
24. How do you implement governance and compliance in multi-cloud analytics?
25. What are emerging trends and innovations in BigQuery and serverless analytics?