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
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
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
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
Brent Ozar looks at the similarities between SQL Server on Linux and SQL Server on Windows Core from back in 2012, and asks whether DBAs should bother learning it.
2017-10-02
4,169 reads
By default, SQL Prompt shows code auto-completion suggestions automatically, and continuously. 90% of the time this is exactly what you want, but there are other times where you just need a bit of space - Phil Factor shows how.
2017-10-02
2,880 reads
Deploying IaaS solutions in Microsoft Azure offers benefits that leverage agility, resiliency, and scalability built into the underlying platform. However, when dealing with business-critical workloads, customers typically want to also provide high-availability and disaster recovery capabilities in a manner that they can control. Trying to implement this approach in the cloud by following the procedures applicable in on-premises datacenters frequently presents challenges. This article focuses on these differences in the context of deployment of SQL Server Failover Clustering in Azure.
2017-09-29
3,141 reads
How difficult can it be to produce a simple hierarchical list in JSON, YAML, XML and HTML from a SQL Server table that represents a simple hierarchy within an organisation. Well once you know, it is easy and William Brewer is on a mission to tell you how.
2017-09-28
6,087 reads
Matteo Lorini shows how to setup a project in SSMS to organize files.
2017-09-27
4,539 reads
Brent Ozar, Erik Darling, and Tara Kizer think about what they would change or fix if they had access to SQL Server’s source code.
2017-09-26
3,774 reads
By Steve Jones
on tenderhooks – adj. feeling the primal satisfaction of being needed by someone, which...
By DataOnWheels
I have been active in the data community throughout my career. I have met...
By Vinay Thakur
Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...
hi, in an ssis for each loop over an object variable called MyListVariable, i...
SQL Server is typically viewed as a transactional or analytical database engine. However, it...
Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...
On SQL Server 2025, when I run this, what is returned?
SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL') See possible answers