A common complaint of database administrators (DBAs) is that performance bottlenecks are not among those problems that one can fix "by just throwing hardware at it." Thus, database servers must provide tools and techniques to help administrators address this issue. On that aspect, SQL Server 2005 does not disappoint.
2004-12-16
2,373 reads
Learn how to achieve scalable, high-performance merge replication applications. (White Paper)
2004-12-15
1,751 reads
One of the age old problems in DTS is moving packages between your development, test and production environments. Typically a series of manual edits needs to be done to all the packages to make sure that all the connection objects are pointing to the correct physical servers. This is time consuming and gives rise to the possibility of human error, particularly if the solution incorporates many DTS packages. Many companies have provided their own custom solutions for managing this problem but these are still workarounds for a problem that is inherently DTS's.
2004-12-14
1,761 reads
The key to effective security is embracing it as an ongoing process rather than a one time event. This document examines how database security can be enhanced with a proactive security lifecycle approach.
2004-12-13
1,564 reads
If you are running Microsoft SQL Server databases to support critical enterprise applications, you are part of a growing trend. The cost/performance benefits of Microsoft SQL Server on the Microsoft Windows NT and Windows 2000 platforms have fueled the growth of SQL Server as a platform for enterprise-class applications.
2004-12-03
1,871 reads
This is the twenty-fifth article of the series, MDX Essentials. The series is designed to provide hands-on application of the fundamentals of the Multidimensional Expressions (MDX) language, with each tutorial progressively adding features designed to meet specific real-world needs.
2004-12-02
1,698 reads
The system table, "sysperfinfo," is the representation of the internal performance counters of SQL Server. This article demonstrates how to retrieve and store information from "sysperfinfo" to a CSV file, so that it can be analyzed.
2004-11-30
3,347 reads
Data Sanitization is the process of making sensitive information in non-production databases safe for wider visibility. This White Paper is an overview of various techniques which can be used to sanitize sensitive production data in test and development databases.
2004-11-29
1,885 reads
Creating an enterprise security plan is a complex endeavour. It involves evaluating multiple threats that gain access through many network paths to a hodgepodge of different applications and systems. With the focus on systems and paths, databases are frequently overlooked. Securing the database should be a fundamental tenet for any security practitioner when developing his or her security plan. The database is the source of data, the "crown jewels" in the information economy. Any security effort must start with this in mind and end with the strongest level of controls applied at the database layer.
2004-11-26
2,129 reads
Over the last few years, corporations have invested billions of dollars to integrate the automations of core business systems in large ERP applications. This paper looks at the risk of downtime and solutions for building an around-the-clock database.
2004-11-24
2,129 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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