Software Patents
Patents are one way that governments can spur innovation. However many people think software patents should be eliminated. Steve Jones doesn't think so, but would like reform.
What are you worth?
When negotiating your salary, it helps to know what the ranges are for your experience and area. Steve Jones gives a little advice today.
Dynamic Data Masking on Azure SQL Database
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.
Name Value Pairs Table Handling
While Name Value Pairs Tables are anathema to Relational Database professionals, it is sometimes useful to consider such a structure in a production application.
This article illustrates the use of User-defined Table Type to improve such handling.
The Importance of Clear Data Displays
An accident on a ship is being blamed on unclear data visualization.
SQL Code Smells
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.
Additional Data Files and Proportional Fill
Additional files can be added to to a database to increase the storage. When more data is added to the files, Extended Events shows how SQL Server spreads data across multiple files.
Core T-SQL
Steve Jones thinks there is a list of core skills that any database developer or DBA needs. This week he asks you for a list of those things you think should be included.
SQL Server Tacklebox
Inside the SQL Server Tacklebox you'll find day-to-day tools and techniques to automate and standardize SQL Server installation, document and report on your servers, migrate data and manage data growth, troubleshoot performance issues, receive notifications of impending issues, secure access to your servers and fight off the data corruption monster.
Blogs
T-SQL Tuesday #198–Change Detection
By Steve Jones
This month we have a new host, Meagan Longoria, who graciously agreed to help...
Redgate and Rome
By Steve Jones
I’m at the UK Redgate office today, meeting with senior leaders in all areas...
Quick Tip: Check Most DTU Expensive Queries in Azure SQL Database
Optimizing Azure SQL Database performance often begins with identifying the most resource-intensive queries. Understanding...
Forums
How Important Is a Google Knowledge Panel for Online Reputation?
I’ve been learning more about the google knowledge panel and it seems like one...
Which Wireless Credit Card Terminal Works Best for Small Businesses?
I’m currently researching the best wireless credit card terminal for a growing business and...
Creating a JSON Document IV
Comments posted to this topic are about the item Creating a JSON Document IV
Question of the Day
Creating a JSON Document IV
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 YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers