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A Pattern for Email Address storage and retrieval

Email addresses are very prevalent in IT systems and often used as a natural primary key. The repetitive storage of email addresses in multiple tables is a bad design choice. Following is a design pattern to store email addresses in a single table and to retrieve them efficiently.

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2017-09-15 (first published: )

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External Article

SQL Server R Services: Digging into the R Language

It is not just the analytic power of R that you get from using SQL Server R Services, but also the great range of packages that can be run in R that provide a daunting range of graphing and plotting facilities. Robert Sheldon shows how you can take data held in SQL Server and, via SQL Server R Services, use an R package called ggPlot that offers a powerful graphics language for creating elegant and complex plots.

2017-09-15

6,981 reads

External Article

SQL Data Aggregation Aggravation

When we have to deal with and store a lot of data, it makes sense to aggregate it so that we store only the information we actually need. If we get this right, this works well, but the design of the system takes care and thought because the problems can be subtle and various. Joe Celko describes some of the ways that things can go wrong and end up providing incorrect, inaccurate or misleading results.

2017-09-12

3,866 reads

External Article

SQL Graph Objects in SQL Server 2017: the Good and the Bad

Graph databases are useful for certain types of database tasks that involve representing and traversing complex relationships between entities. These can be difficult to do in relational databases and even trickier to report on. Until now, we have had the choice of doing it awkwardly in SQL Server or having an ancillary database to tackle this type of task. SQL Server 2017 will be bringing graph capabilities to the product but will these features prove to be good enough to allow us to dispense with specialised Graph databases? Dennes Torres decided to find out.

2017-09-07

3,818 reads

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Tables with a SPARSE Column and Consumption

True or False:  Tables with a SPARSE column consume more space than regular columns if most values are NOT NULL.

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