Azure Data Studio provides a modern and productive experience for managing on-premise and cloud-based SQL Server instances. Previously, we discussed many useful features of it, and you can explore these articles in Azure Data Studio category.
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This article explores the SQL Server Schema Compare extension in the Azure Data Studio.
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This article covers the usage and detailed features of the multi-value parameter in SSRS.
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On November 4th, 2019, during the Ignite conference at Orlando, Microsoft released the General Availability of its flagship product Microsoft SQL Server 2019. SQL 2019 provides various enhancements to its core database engine and offers integration with Big data (Apache Spark, Data Lake), Machine learning, Linux/container compatibility with Kubernetes.
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This article prepares a handy SQL Notebook for DBAs. You can use this notebook to troubleshoot performance issues and for getting SQL Server instance details.
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Database administrators should be aware of the internal SQL Server processes such as the dirty pages, SQL Server CHECKPOINT, Lazy writer process. This is a very common question that you might come across in SQL DBA technical interviews as well on all levels such as beginner, intermediate and expert level.
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This article explains the SQL Notebook feature in Azure Data Studio along with the Markdown language to customize it.
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There has been an ever-growing discomfort on documenting things especially when it’s very dynamic in nature and I was at one time undergoing the same. We have been developing SQL Server Analysis Tabular Model’s, which were quite a many in numbers and documenting 50 or 60 models manually is a big effort. In addition, development always demands change or enhancements that incurs changes on the documentation that is a continuous process. Adding the changes on the documentation is a time consuming process and sometimes loses track or remains inconsistent with the code built which is a critical issue when the system is in production for years.
I decided to automate the documentation of the SSAS model, to ease the manual effort here as well as save time. In addition, help the end users to see and review the latest change on the models quickly without even bothering the development team.
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Documentation is never fun. I curse having to do it and I curse the person who didn’t do it. It’s a no-win situation.
Luckily I don’t want to tell you to write long documents for setting up or maintaining Reporting Services or creating reports etc. This is more about the main aspects of SSRS that you should be keeping a backup of or maintaining to make your life (and other people’s lives) easier in future. I’ll keep your typing to a minimum.
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In any good programming reference, you will read that a developer has to document his code, not only for him/herself but also for the person who, ten years later will be asked to maintain it. This would, of course, be made easier thanks to a good documentation of existing code.
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A few weeks back I had been working on an interesting proof of concept for a client within the food/grocery industry. The objectives were to be able to provide the client with information on sales patterns, seasonal trends and location profitability. In our previous “get-together” we discussed how to create a tabular model project and how to create efficient and effective reports utilizing Excel.
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A few weeks back I had been working on an interesting proof of concept for a client within the food / grocery industry. The objectives were to be able to provide the client with information on sales patterns, seasonal trends and location profitability. The client was an accountant and was therefore comfortable utilizing spreadsheets. This said, I felt that this was a super opportunity to build our proof of concept utilizing a SQL Server Tabular Solution and by exploiting the capabilities of Excel and Power Reporting for the front end.
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System views allow us to gain access to information about any objects within SQL Server, from tables to extended properties to check constraints. This information can be collected and used for many purposes, one being the need to document our objects without the need to click endlessly in the GUI or to incur an immense amount of manual work.
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We often have a need to view object definitions in SQL Server, whether they be tables, triggers, or foreign keys. The built in tools are great for an object here and there, but are very cumbersome if you’re looking to generate create statements for a large number of objects.
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Constraints exist as a way to enforce or document rules within the database. How do they affect performance, and what are the benefits of using them?
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