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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

External Article

The Power of Python and SQL Server 2017

Python is new to SQL Server 2017. It is intended primarily to allow the use of Python-based machine-learning within SQL Server, but it can be used for far more than this, with any Python libraries or Frameworks. To provide an example of what is possible, Hitendra shows how to use the feature securely to provide intelligent application caching, where SQL Server can automatically indicate when data changes to trigger a cache refresh.

2017-10-16

5,024 reads

External Article

Statistics in SQL: Student’s t-test

Many undergraduates have misunderstood the name 'Students' in the t-test to imply that it was designed as a simple test suitable for students. In fact it was William Sealy Gosset, an Englishman publishing under the pseudonym Student, who developed the t-test and t distribution in 1908, as a way of making confident predictions from small sample sizes of normally-distributed variables. As Gosset's employer was Guinness, the brewer, Phil Factor takes a sober view of calculating it in SQL.

2017-10-12

3,767 reads

Blogs

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Hyperscale Replicas I

What types of secondary replicas are available for the Azure SQL Database Hyperscale edition?

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