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The SQL Server Features that Time Forgot

Every new release of SQL Server comes with new features that cause a ripple of excitement within the industry: well, amongst the marketing people anyway. What happens to all the exciting TLAs that are bandied about when a new version launches? It's mixed, it seems. Adam Machanic's classic post, The SQL Hall of Shame, has inspired Rob Sheldon to look back at some of the features that, though worthy, have may have failed to hit the mainstream.

2017-10-27

5,970 reads

External Article

SQL Server R Services: Working with ggplot2 Statistical Graphics

It is when you use R in SQL Server with one of the huge range of packages that comes with it that you can begin to appreciate the power of the system. With a package such as ggplot there are many 'knobs one can twiddle' in order to get spectacular and informative visualisations. Rob Sheldon continues his beginners series for R in SQL Server by showing how to refine the output to get it as you need it.

2017-10-25

3,267 reads

External Article

How to determine SQL Server database transaction log usage

One crucial aspect of all databases is the transaction log. The transaction log is used to write all transactions prior to committing the data to the data file. In some circumstances the transaction logs can get quite large and not knowing what is in the transaction log or how much space is being used can become a problem. So how to you determine how much of the transaction log is being used and what portions are being used?

2017-10-24

4,163 reads

Technical Article

Overview of Azure Data Lake

Azure Data Lake stores petabytes of data and analyzes trillions of objects in one place with no constraints. Data Lake Store can store any type of data including massive data like high-resolution video, medical data, and data from a wide variety of industries. Data Lake Store scales throughput to support any size of analytic workload with low latency. Read on to learn more.

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2017-10-20

3,483 reads

External Article

Simple SQL: Random Thoughts

How does one get a truly random sample of data of a certain size from a SQL Server database table. Well, there are simple non-portable tricks one can use, such as the NewID() function, but then refining those can be tricky. Take the Rand() function for a start. Can it really provide you with a truly random number? Why doesn't the TABLESAMPLE clause give you a set number of rows? Joe Celko scratches his head a bit, explains some of the issues and invites some suggestions and tricks from readers.

2017-10-19

3,623 reads

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Hyperscale Replicas V

I have an Azure SQL Database Hyperscale Edition system running with a geo-replica enabled. Can I create a new geo-replica based on the current secondary geo-replica?

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