Articles

External Article

Free ebook: Stairway to SQL Server XML

Free download to all Simple Talk users. XML has been part of the SQL Standard since 2003, and is essential for any DBA because so many of the dynamic management views return XML data. Now that the industry is more used to data defined by document markup, it is becoming more important than ever for Database Developers and DBAs to understand the technology and to know where it makes sense to use XML.

2017-06-02

6,152 reads

External Article

Introducing DLM Techniques for a Multi-Database Multi-Server System

Although the techniques of Database Lifecycle Management can reduce the timescales for the delivery of new functionality to business systems, what if the database 'layer' consists of several large interdependent databases and data flows with replication and audit? Does DLM scale to this level of complexity? Margaret Cruise O'Brien starts a series of articles that describes the practicalities of improving DLM within an existing framework and team supporting a multi-database multi-server system, by describing some of the database management problems and solutions in an enterprise-scale database.

2017-06-02

2,744 reads

External Article

Azure SQL Database - Dynamic Data Masking

A number of security-related features are built into Azure SQL Database, including Transparent Data Encryption, Row-Level Security, and Azure SQL Database Auditing. Their availability reflects the consistent effort by Microsoft to provide functional parity between Azure SQL Database and SQL Server instances running in Azure virtual machines as well as in your on-premises environment. Another example of this trend is support for Dynamic Data Masking, covered in this article.

2017-05-30

2,632 reads

Blogs

Stop Using Pandas for Aggregations — Try DuckDB Instead

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QUOTENAME Basics: #SQLNewBlogger

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Recently I ran across some code that used a lot of QUOTENAME() calls. A...

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Question of the Day

The string_agg function

We create the following table and then insert some records in it:

create table t1 (
   id int primary key,
   category char(1) not null,
   product varchar(50)
);

insert into t1 values
(1, 'A', 'Product 1'),
(2, 'A', 'Product 2'),
(3, 'A', 'Product 3'),
(4, 'B', 'Product 4'),
(5, 'B', 'Product 5');
What happens if we execute the following query in both Sql Server and PostgreSQL?
select id, 
category, 
string_agg(product, ';')
                 over (partition by category order by id
                 rows between unbounded preceding and unbounded following) as stragg
from t1;

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