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The real Data Type: Seven Digits of Precision and Overflow

June 30, 2011
Pinal Dave
SQL Tips and Tricks
Mathematics, SQL Data Storage, SQL Datatype, SQL Error Messages

Four bytes look like a bargain until a total comes out wrong. Watch real round, overflow and drift, then decide when decimal is the safer pick.

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CROSS JOIN: Duplicate Inputs Multiply the Result

June 28, 2011
Pinal Dave
SQL Tips and Tricks
Best Practices, SQL Scripts, SQL Server

CROSS JOIN multiplies row counts, including repeated labels. Keep source identifiers and grouped pair counts visible while checking result grain.

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SQL SERVER - T-SQL Scripts to Find Maximum between Two Numbers

SQL SERVER – T-SQL Scripts to Find Maximum between Two Numbers

June 26, 2011
Pinal Dave
SQL Tips and Tricks
SQL Scripts

A SQL enthusiast at the airport asked for a simple way to find maximum between two numbers. Here is his clever ABS formula and my CASE version.

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Tabular Models for the SQL Developer

June 25, 2011
Pinal Dave
SQL Tips and Tricks
Business Intelligence, Data Warehousing, SQL Analysis Services, SQL Server, SQL View

Tabular models for the SQL developer add relationships, measures, security, and reusable semantics above SQL tables; learn when a view is enough.

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Summary Tables: Keeping Pre-Aggregated Totals Current

June 24, 2011
Pinal Dave
SQL Tips and Tricks
Data Warehousing, SQL Server, SQL Server Agent, SQL Trigger, SQL View

Keep summary tables current with changed-day rebuilds, handle late arrivals and deletes, and reconcile stored totals against detail.

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SQL SERVER - SSAS - Multidimensional Space Terms and Explanation

SQL SERVER – SSAS – Multidimensional Space Terms and Explanation

June 22, 2011
Pinal Dave
SQL Tips and Tricks
Business Intelligence

At a Tech Ed On Road session I was asked to explain multidimensional space in simple words. Here are dimension, member, value, attribute and size.

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Data Integration Patterns Without Special Tools

June 22, 2011
Pinal Dave
SQL Tips and Tricks
Change Data Capture, Data Warehousing, ETL, SQL Server, SQL Server Agent

Data integration patterns in SQL Server cover full reloads, incremental pulls, change capture, and file drops with clear restart rules.

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