There is a built-in command called msiexec which has an uninstall parameter (-x). This command can be used to remove stubborn programs through brute force. First, though, you need to get an inventory of the GUIDs that represent the programs you need to remove.
2017-11-16
2,852 reads
Over the years, Phil was struck by the problems of reading and writing JSON documents with SQL Server, and wrote several articles on ways of overcoming these problems. Now that SQL Server 2016 onwards has good JSON support, he thought that the articles would be forgotten. Not so, they continue to be popular, so he felt obliged to write about how you can use SQL Server's JSON support to speed the process up.
2017-11-15
3,562 reads
Brent Ozar shares a free script that that you can run to quickly produce a health check of your SQL Server.
2017-11-14
5,245 reads
In the real world of business or scientific reporting and analysis, data can prove to be awkward. It can be plain wrong or it can be altogether missing. Sure, we have the NULL to signify unknown, but that doesn't play well with regular business reporting. There are a number of ways of dealing with missing information, and methods of estimating data from existing data has a long and respectable history. Joe Celko gets to grips with a data topic that is often treated with some trepidation.
2017-11-13
4,133 reads
Your Agile developers want MongoDB, or a similar document database: your Ops people are concerned about security and backup, and Governance are muttering about transactionality and data transfer between systems. Do you restrict your developers from rapidly-evolving the data design for their domain or do you embrace the joys of NoSQL unconditionally? If you accept a polyglot database environment, where the NoSQL lambs coexist with the relational lions, how do you provide tools and common database concepts that everyone can use and understand?
2017-11-10
3,389 reads
How do you get management to help you figure out if a cluster or an AG is right for you? In this post, Brent Ozar explains the steps involved when doing a review of your SQL Server architecture.
2017-11-09
7,002 reads
Although you can get started with R in SQL Server without understanding data frames, they are a key structure of the R language that are the equivalent of SQL Server table variables. They give you many ways of manipulating and analyzing data and passing it between R and SQL Server. For a database professional, they provide a clear and familiar concept when getting to grips with integrating R into the database.
2017-11-08
3,412 reads
Azure SQL Database’s Dynamic Data Masking (DDM) feature limits the exposure of sensitive information to non-privileged users. DDM can mask either the full value or partial value in a column. This method can also mask Social Security and Credit Card Numbers without making any changes to the application. Read on to learn more.
2017-11-07
2,210 reads
Some time ago, Phil Factor wrote his booklet 'SQL Code Smells', collecting together a whole range of SQL Coding practices that could be considered to indicate the need for a review of the code. It was published as 119 code smells, even though there were 120 of them at the time. Phil Factor has continued to collect them and the current state of the art is reflected in this article. There are now around 150 of these smells and SQL Code Guard is committed to cover as many as possible of them.
2017-11-06
8,928 reads
Azure SQL Database provides a number of benefits that leverage resiliency and redundancy built into the underlying cloud infrastructure. In addition to Point-in-Time Restore as well as Geo-Restore and Active Geo-Replication, you have the option of implementing long-term backup retention of Azure SQL Database.
2017-11-03
2,430 reads
By Vinay Thakur
These days everything is changing to AI World, IT roles are getting changed and...
PlanTrace: Stop Reading Redshift EXPLAIN Plans. Start Seeing Them Introducing PlanTrace — a free, browser-based...
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We suffered a SPAM attack from May 1-6, which unfortunately corresponded with time off...
Hi to all We have situation at a client where someone is illegally changing...
Hi to all We have situation at a client where someone is illegally changing...
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers