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.
2017-10-20
3,483 reads
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
There is already a template on the Azure marketplace for setting up an AlwaysOn Availability Group. In just a few easy steps you can get a working AlwaysOn Availability Group setup, configured and running - this post describes the steps to quickly set it up.
2017-10-18
3,292 reads
Erik figures out why SQL Server really doesn't like combining these two things in a query plan.
2017-10-17
3,790 reads
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
Can data alert us that something is going on, without baselines and thresholds?
2017-10-13 (first published: 2016-02-23)
4,142 reads
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
Implementing SQL Server Failover Clustering in Azure virtual machines differs in several aspects from its on-premises implementations. These differences reflect some of the unique characteristics of the storage and network infrastructure services in the Microsoft cloud environment. In this article, Marcin Policht looks at the networking aspects of clustered deployments of SQL Server 2016 in Azure.
2017-10-11
2,735 reads
If your development team needs to work on anonymised copies of the current production database, and if changes are being delivered rapidly as well, that could mean a lot of time and routine DevOps work copying databases. SQL Clone was designed for tasks like this. Grant Fritchey investigates whether you save time, effort and scripting over the more traditional approach, and at what point it makes sense to use it.
2017-10-10
4,465 reads
Erik Darling shows that if you take SQL Server's word when it asks for an index, things can go horribly awry.
2017-10-09
4,023 reads
By Steve Jones
Leave a gate behind you the way you first found it. – from Excellent...
By SQLPals
Fix Slow, Bloated MSDB: Purge Old History And Add Missing Indexes ...
By James Serra
Organizations increasingly want Snowflake and Microsoft Fabric to coexist without duplicating data or fragmenting...
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If I have a fillfactor set to 70%, this reduces my page density to roughly 70%. Does this affect the query plans that the optimizer chooses?
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