Databricks

Databricks SQL and SQL Warehouses: Serverless Compute, Query Editor, Dashboards, Query History, and SQL-Native Analytics for Data Engineers

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Complete guide to Databricks SQL and SQL Warehouses. SQL Warehouses explained (Serverless vs Pro vs Classic), creating and sizing warehouses, auto-stop and auto-scaling, the SQL Editor with query parameters, built-in dashboards with widgets and scheduled refresh, query history and query profile for performance optimization, automated alerts for data quality monitoring, access control, Databricks SQL vs Notebooks comparison, Databricks SQL vs Fabric Warehouse comparison, 5 common mistakes, and 3 interview Q&As.

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Databricks AutoLoader: Incremental File Ingestion with cloudFiles, Schema Inference, Schema Evolution, and Production Checkpointing

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The complete AutoLoader guide for Databricks. cloudFiles source explained, why AutoLoader beats spark.read (7-feature comparison), file discovery modes (Directory Listing vs File Notification), reading CSV/JSON/Parquet with full options, schema inference with schemaLocation, four schema evolution modes (addNewColumns, rescue, failOnNewColumns, none), schema hints for type overrides, checkpointing internals, rescued data column for zero data loss, 12-option reference table, production Bronze ingestion function, config-driven multi-source pattern, monitoring streams, AutoLoader vs COPY INTO vs ADF Copy Activity, trigger modes (availableNow vs once), and 8 common mistakes.

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Databricks Unity Catalog Deep Dive: Metastore, Three-Level Namespace, Governance, Lineage, and Securing Your Lakehouse Like a Production Engineer

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The complete Unity Catalog deep dive. Three-level namespace (catalog.schema.table), metastore setup with Access Connector, catalogs and schemas with 4 organization patterns, managed vs external tables, Volumes for unstructured data, Storage Credentials and External Locations explained, full GRANT/REVOKE with 5 complete scenarios, row-level security with SQL row filters, column masking with dynamic data masking functions, automatic data lineage (table and column level), audit logging, Delta Sharing for zero-copy data sharing, identity federation with Azure AD SCIM, Hive metastore migration with UCX tool, Azure vs AWS vs GCP comparison, and Unity Catalog vs Microsoft Fabric governance.

Databricks Unity Catalog Deep Dive: Metastore, Three-Level Namespace, Governance, Lineage, and Securing Your Lakehouse Like a Production Engineer Read More »

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