Writing Nearly Codeless Apps: Part 5
In this next installment of the series on writing codeless applications, David Ziffer looks at the querying of data from the database.
2010-11-03
5,396 reads
David Ziffer
Writing Nearly Codeless Apps: Part 4
Part four of this series on rapid application development looks at the CRUD routines that are needed for almost every application.
2010-10-27
7,068 reads
Writing Nearly Codeless Apps: Part 3
As we continue in this series, see how auditing tables are used to track all changes that are made to the main data tables.
2010-10-20
8,295 reads
Writing Nearly Codeless Apps: Part 2
In this article, learn why it makes sense to build a more standarized, more robust database based on rules and see how data modeling works in the RAP software.
2010-10-13
10,566 reads
Writing Nearly Codeless Apps: Part 1
A new series from David Ziffer describes a way of building applications in a more standardized fashion, and it provides a basic review of some software that can help.
2010-10-06
18,416 reads
Use Excel to DIFF Your Query Outputs
Comparing data from two queries to see if they return the same results can be an interesting challenge. David Ziffer brings us a great way to do this using Excel.
2008-12-31
1,352 reads
Build Great Looking Excel Spreadsheets
Exporting data from your database and building reports is easy with Reporting Services, but sometimes you need to use other sources
2008-11-05
18,163 reads
Creating a generic audit trigger with SQL 2005 CLR
Auditing is becoming more important all the time for DBAs as regulations and requirements increase. Building auditing into your systems can be done a number of ways, but with SQL Server 2005, you have a new option. New author David Ziffer brings us a generic auditing CLR trigger.
2006-08-02
19,062 reads
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Question of the Day
Fun with JSON I
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers