Dynamically Create Warehouse Dimensions
Here's a data warehouse design pattern to speed up multi-value dimension creation.
2017-11-13
1,420 reads
Here's a data warehouse design pattern to speed up multi-value dimension creation.
2017-11-13
1,420 reads
In the real world of business or scientific reporting and analysis, data can prove to be awkward. It can be plain wrong or it can be altogether missing. Sure, we have the NULL to signify unknown, but that doesn't play well with regular business reporting. There are a number of ways of dealing with missing information, and methods of estimating data from existing data has a long and respectable history. Joe Celko gets to grips with a data topic that is often treated with some trepidation.
2017-11-13
4,133 reads
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
2017-11-10 (first published: 2016-10-31)
3,421 reads
Your Agile developers want MongoDB, or a similar document database: your Ops people are concerned about security and backup, and Governance are muttering about transactionality and data transfer between systems. Do you restrict your developers from rapidly-evolving the data design for their domain or do you embrace the joys of NoSQL unconditionally? If you accept a polyglot database environment, where the NoSQL lambs coexist with the relational lions, how do you provide tools and common database concepts that everyone can use and understand?
2017-11-10
3,389 reads
This article will show how to change the data type of a column when the table contains more than 1 billion records.
2017-11-09
5,568 reads
How do you get management to help you figure out if a cluster or an AG is right for you? In this post, Brent Ozar explains the steps involved when doing a review of your SQL Server architecture.
2017-11-09
7,002 reads
Although you can get started with R in SQL Server without understanding data frames, they are a key structure of the R language that are the equivalent of SQL Server table variables. They give you many ways of manipulating and analyzing data and passing it between R and SQL Server. For a database professional, they provide a clear and familiar concept when getting to grips with integrating R into the database.
2017-11-08
3,412 reads
This book holds the key to "encryption without fear". In it, John Magnabosco sweeps away some of the misconceptions surrounding SQL Server's encryption technologies, and demonstrates that, when properly planned and implemented, they are an essential tool in the DBA's fight to safeguard sensitive data.
2017-11-07
3,024 reads
Azure SQL Database’s Dynamic Data Masking (DDM) feature limits the exposure of sensitive information to non-privileged users. DDM can mask either the full value or partial value in a column. This method can also mask Social Security and Credit Card Numbers without making any changes to the application. Read on to learn more.
2017-11-07
2,210 reads
While Name Value Pairs Tables are anathema to Relational Database professionals, it is sometimes useful to consider such a structure in a production application.
This article illustrates the use of User-defined Table Type to improve such handling.
2017-11-06
5,935 reads
By Steve Jones
If you’ve wanted a SQL Server MCP server for your databases, it’s available. The...
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
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On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
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