Snowflake

The complete Snowflake performance and cost optimization guide. Three caching layers for free repeat queries. Partition pruning as the foundation of performance. Clustering keys for large tables. Search optimization service for point lookups. Materialized views for expensive aggregations. Query Profile for diagnosing slow queries. Warehouse sizing and scaling strategy. Disk spillage diagnosis and fixes. SQL optimization patterns. Cost monitoring queries. Eight common mistakes and seven interview Q and As.

The complete Snowflake Iceberg and data sharing guide. Apache Iceberg tables with Snowflake-managed and externally-managed modes. External volumes for S3 Azure and GCS. Polaris catalog for multi-engine interoperability. Zero-copy cloning for instant copies. Time Travel for point-in-time recovery. Data sharing for zero-copy collaboration. Cross-cloud replication. Iceberg vs native tables decision guide. Eight common mistakes and seven interview Q and As.

The complete Snowpark Python guide for data engineers. Session setup and DataFrame API with lazy evaluation. Transformations joins aggregations and window functions. UDFs vectorized UDFs and UDTFs for custom Python logic. Stored procedures for multi-step pipelines. pandas on Snowflake with Modin. ML training with snowflake.ml. Snowflake Notebooks. Snowpark vs PySpark comparison. Eight common mistakes and seven interview Q and As.

The complete Snowflake transformations guide. Streams for change data capture with metadata columns. Tasks for scheduled SQL with cron and task trees. Streams plus Tasks for CDC pipelines. MERGE for SCD Type 1 and Type 2 upserts. Dynamic Tables with TARGET LAG for declarative pipelines. Stored procedures in SQL and Python. Medallion architecture in Snowflake. Streams Tasks vs Dynamic Tables decision guide. Eight common mistakes and seven interview Q and As.

The complete Snowflake data loading guide. Internal and external stages for S3 Azure Blob and GCS. File formats for CSV JSON and Parquet. COPY INTO for bulk loading with transformations. Snowpipe for continuous automated ingestion. Snowpipe Streaming for real-time row-level inserts. Loading semi-structured JSON and Parquet with VARIANT. Error handling with VALIDATE and COPY HISTORY. Eight common mistakes and seven interview Q and As.

The complete Snowflake setup guide for data engineers. Account structure and three-level naming convention. Creating databases and schemas for medallion architecture. Virtual warehouse sizing and auto-suspend configuration. System-defined role hierarchy and custom RBAC design. Future grants for maintainable security. Resource monitors for cost control. Complete production setup script. Eight common mistakes and seven interview Q and As.

The complete Snowflake introduction for data engineers. Three-layer architecture with storage compute and cloud services separation. Virtual warehouses with T-shirt sizing and per-second billing. Micro-partitions and columnar storage. Pricing model with credits. Four editions compared. Snowflake vs Databricks vs Fabric vs Redshift vs BigQuery. When to use Snowflake. Key terminology. Eight common mistakes and seven interview Q and As.