The ideal Agile database needs to be secure, recoverable, transactional, resilient, and versatile enough to allow easy migration paths when you need to delegate tasks elsewhere, for scalability. Sounds like a relational database to Phil Factor.
The feature formerly known as Hekaton, now In-Memory OLTP can provide very useful performance gains where you carefully select the tables to become memory-optimised. How do you set about the job of converting existing tables to become memory-optimised tables? the process isn't entirely straightforward but the benefits that an In-Memory OLTP table delivers is worth your effort. Alex Grinberg takes you through the basics.
Many reports you will generate in SSRS will need to report within date ranges, and most of those will need a date range parameter. Here's an way to make an easy-to-use date range parameter.
When you begin to work with containers, you will notice many similarities between a container and a virtual machine; but, in fact, these are two quite different concepts. Containers are going to change the way that we do Windows-based development work in the coming year, and they already underpin much of the devops work of speeding the delivery process. Nicolas Prigent explains how to use the Windows Containers feature.
Age Calculation gets implemented as an Inline table Valued function with a parameter defining which date parts must be counted.
SQL Server 2016 introduced many new features and improvements for all its products, and Master Data Services (MDS) is no exception. In this post, Koen Verbeeck gives a comprehensive overview of all the new MDS features.
Steve Jones notes that not just the small, startup, agile companies use DevOps. Nor is it just technology companies.
This article will show why there is a need for remote access with a Biztalk server that uses log shipping.
Many practical database problems can be tackled more simply and intuitively by graphs or networks, which in this sense are graphs in which attributes can be associated with the nodes and edges. It is a natural way to study relationships within the data. SQL databases aren't the easiest way of doing it, but it makes sense where the scale permits it. Because of the range of graphs and techniques, some Graph theory is unavoidable before you get stuck into the code, and who better to introduce graph databases than Joe Celko?
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Comments posted to this topic are about the item Detecting Deadlocks Quickly
In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?
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