Real questions from top companies in SQL · hard
Query Performance in Redshift - optimization
Review Kafka fundamentals and concepts.
SQL Query Design: employees with highest salaries within each department
SQL Query Optimization techniques
Scenario: Query optimization for a large dataset.
Schema Design: Star vs. Snowflake schema differences
Share strategies for query and ETL optimization.
Snowflake Tech Stack: Deployment on Azure, cluster sizing considerations, and overall data warehouse design?
Snowflake: Types of Caching, Time Travel vs. Fail-safe, Snowpipe, Materialized Views
Spark optimizations: Partitioning, caching, tuning parallelism
Stored Procedure Optimization
Time and cost comparisons for executing the same query in Snowflake and Spark.
What are the benefits of BigQuery Warehouse?
What are the benefits of using a cloud data warehouse (e.g., Redshift, Snowflake) for analytics?
What are the key design principles for a cloud-based data warehouse?
What are the trade-offs between relational databases and NoSQL for financial data?
What considerations are important when designing a dimensional model for a ridesharing app?
What is CTE in SQL?
What is a Data Warehouse, and can you explain its Tier-1 and Tier-2 architecture?
What optimizations would you apply for partitioning strategies?
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