Key Lookups and ColumnStore Indexes
Erik figures out why SQL Server really doesn't like combining these two things in a query plan.
2017-10-17
3,790 reads
Additional Articles
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
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
Network Configuration of SQL Server Always On Availability Groups in Azure
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
Automated Database Provisioning for Development and Testing
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
Indexing for Windowing Functions: WHERE vs. OVER
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
SQL Server Integration Services SSIS 2016 Tutorial
SQL Server Integration Services (SSIS) is the integration and ETL (extract – transform – load) tool in the Microsoft Data Platform stack. SSIS is typically used in data warehousing scenarios, but can also be used in common data integration use cases or just to move data around. SSIS is used behind the scenes in the Maintenance Plans of SQL Server and in the Import/Export wizard.
2017-10-06
4,301 reads
The Basics of Good T-SQL Coding Style – Part 4: Performance
There are several obvious problems with poor SQL Coding habits. It can make code difficult to maintain, or can confuse your team colleagues. It can make refactoring a chore or make testing difficult. The most serious problem is poor performance. You can write SQL that looks beautiful but performs sluggishly, or interferes with other threads. A busy database developer adopts good habits so as to avoid staring at execution plans. Rob Sheldon gives some examples.
2017-10-05
6,056 reads
Understanding Azure Data Factory – A Cloud Based Integration Service
Azure Data Factory is a cloud based data integration service. This helps you to define, schedule and manage data pipelines to transfer and transform the data from disparate on premise and cloud data sources. Read on to learn more.
2017-10-04
2,470 reads
Data in Motion and Data at Rest
Microsoft (StreamInsight), and Azure Stream Analytics represent a very different model for processing data. They are concerned with processing complex event streams of data (CEPs) from such things as sensors to deduce significant patterns and apply filters. Joe Celko discusses the background to an intriguing technology of complex event processing to establish the difference between data at rest, and data on the move.
2017-10-03
3,971 reads
Blogs
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Question of the Day
The Data API Builder MCP Server Tools
The Data API Builder MCP Server, v2.x, includes a number of tools. What actions can these tools perform in your database?
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