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Slowly Changing Dimension Quiz: Type 1 or Type 2?

February 1, 2012
Pinal Dave
SQL Puzzle
Business Intelligence, Data Warehousing, ETL

This Slowly Changing Dimension Quiz asks which type to use when a customer moves from Denver to Austin and sales before the move must stay under Denver. The answer is Type 2. A tested script runs Type 1 and Type 2 side by side, checks the move date and shows both reports.

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Watermarks for Incremental Extracts

December 19, 2011
Pinal Dave
SQL Tips and Tricks
Change Data Capture, Data Warehousing, ETL, SQL DateTime, SQL Server

Watermarks for incremental extracts need clear boundaries, durable checkpoints, and a plan for late updates, deletes, and missed rows.

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SSIS Project and Package Deployment Explained

December 3, 2011
Pinal Dave
SQL Tips and Tricks
Best Practices, Data Warehousing, Database, ETL

Understand SSIS deployment models, catalog environments, parameter bindings, and the checks that keep package execution predictable after deployment.

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Handling the Row That Arrives Late

November 29, 2011
Pinal Dave
SQL Tips and Tricks
Best Practices, Data Warehousing, Database, ETL

Handle late arriving data with explicit event dates, inferred dimension members, replay windows, and a clear policy for correcting published history.

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Where a Business Rule Should Actually Live

October 11, 2011
Pinal Dave
SQL Tips and Tricks
Best Practices, Data Warehousing, Database, ETL

Place the business rules database applications depend on in constraints, procedures, triggers, or application code according to their guarantees.

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SSAS Tabular vs Multidimensional: Choosing for a New Project

September 22, 2011
Pinal Dave
SQL Tips and Tricks
Business Intelligence, Data Warehousing, SQL Analysis Services, SQL Server

Compare Tabular vs Multidimensional for SSAS projects, including storage, relationships, write-back, team skills, and model checks.

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Surrogate Keys and Natural Keys

September 18, 2011
Pinal Dave
SQL Tips and Tricks
Business Intelligence, Data Warehousing, Primary Key, SQL Constraint and Keys, SQL Server

Surrogate keys keep warehouse history stable while natural keys preserve source identity; learn lookup, uniqueness, and change handling.

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