Vincent Rainardi

  • Interests: data warehousing and BI, family, chess, bilyard

SQLServerCentral Article

Date and Time in SQL Server 2008

SQL Server 2008 is well on its way to being complete and released with the release of the second CTP recently. There aren't a tremendous number of changes, but one of the more interesting ones is the changes to date and time handling in this new platform. The time and date datatypes have been separated and longtime SQL Server author Vincent Rainardi brings us a short look at how there can be used.

4.13 (32)

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2007-10-24

12,449 reads

SQLServerCentral Article

From DBA to DWA

Everyone wants to know what a DBA does and it is becoming a hard question to answer as the responsibilities and capabilities of database platforms increase. Longtime author Vincent Rainardi brings us the proposition of a new type fo DBA, one that focuses more on data warehousing.

4 (3)

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2007-09-17

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SQLServerCentral Article

Data Warehouse Loading

Data warehousing is becoming more and more popular, especially as companies seek to leverage the information stored in various systems to improve their business processes. Warehousing expert Vincent Rainardi brings us the next installment of his series on data warehousing, examining the issues of loading data.

5 (3)

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2006-10-24

14,698 reads

SQLServerCentral Article

Considerations for Data Warehousing

What type of things do you need to look at when setting up a data warehouse? Hardware is a big one as well as the settings for the server, which may be substantially different than transactional systems most DBAs work with. Warehousing expert Vincent Rainardi brings us the next installment in his data warehousing series with some advice on what you should be looking for.

4.67 (3)

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2006-08-16

11,514 reads

SQLServerCentral Article

Business Intelligence or Data Warehouse

Is a data warehouse required for business intelligence? Are these synonyms for the same concept? Vincent Rainardi brings us the next part of his data warehousing series that examines these two concepts and how they fit into your data analysis infratructure.

4.83 (6)

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2006-05-23

13,967 reads

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