A series of arguments with developers who insist that fuzzy searches or spell-checking be done within the application rather then a relational database inspired Phil Factor to show how it is done. When the database must find relevant material from search terms entered by users, the database must learn to expect, and deal with, both expected and unexpected.
2017-04-27
7,260 reads
Microsoft announced the availability of SQL Server Analysis Services (SSAS) on Azure late last year. Siddharth Mehta walks through how to quickly set up a tabular data model in SSAS Azure.
2017-04-26
2,859 reads
This article demonstrates using React and the CData API Server to build dynamic Web pages using SQL Server data.
2017-04-24
52,150 reads
The Redgate Foundry team have been researching data masking, and have found that generally speaking there's six common approaches. In this blog post, Toby Smyth runs through all six.
2017-04-24
3,252 reads
Andrea Angella shares what he learned from attending Michael Feather's workshop on working effectively with legacy code.
2017-04-20
4,251 reads
2017-04-19
181 reads
This article gives an overview of some good and not-so-good features of SSIS package parts.
2017-04-19
3,931 reads
Node.JS and SQL Server are a good match for creating non-blocking, event-driven database applications. Though you can use ODBC or JDBC to communicate between the two, it is possible to run such applications on platforms such as Azure, Linux, OSX and iOS by using Node together with the JavaScript TDS library called 'Tedious'. 'Tedious' is a mature product but it is still possible to get things wrong in converting SQL Server datatypes such as BigInt to native Javascript data.
2017-04-19
3,491 reads
In this next installment of our series on Azure SQL Data Warehouse, we'll look at tables and the options for how we decide to create them for optimum performance.
2017-04-18
2,117 reads
Tom Austin talks about the challenges that arise from trying to include the database in your DevOps process.
2017-04-18
3,224 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
Comments posted to this topic are about the item 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; See possible answers