In this three-part series I'll look at what you can do to persist this data so you don't find yourself waiting for usage stats to compile over a reasonable period of time just so you can harness the power of the indexing DMOs in your performance tuning process.
2009-05-26
1,438 reads
Searching packages or just enumerating through all tasks is not quite as straightforward as it may first appear, mainly because of the way you can nest tasks within other containers. You can see this illustrated in the sample package below where I have used several sequence containers and loops.
2009-05-26
1,144 reads
This video looks at the memory buffers that transfer data to the data flow of an Integration Services package.
2009-05-25
1,040 reads
Scalable, cost-effective EDW implementation is an elusive goal for many large organizations. Three common approaches include centralized EDW the “monolithic” approach, decentralized collections of data marts, and attempts at hub-and-spoke architectures that combine the previous two. With the acquisition of DATAllegro and the pending release of Project codename “Madison,” Microsoft is poised to deliver a unique and compelling Massively Parallel Processing (MPP) data warehouse solution that combines the best features of both EDW and decentralized data marts.
2009-05-25
1,312 reads
Many shops do full backups of their databases as part of a job within SQL Agent, typically as part of a maintenance plan. This job will often times do all database backups in secession. As such, while you may know how long the job takes, you may not know how long any one particular database takes to have a full backup taken.
2009-05-22
3,711 reads
SQL Server 2005 introduces a rich set of tools supporting the development and management of Business Intelligence applications. This includes applications using Analysis Services (OLAP and Data Mining), as well as Reporting Services and Data Transformation Services (DTS).
2009-05-22
2,254 reads
Get hands-on exposure to the use of the "Equal Areas" discretization method in Analysis Services. Join BI Architect Bill Pearson as he continues to explore Attribute Discretization, within his extended examination of the dimensional model lying at the heart of the integrated Microsoft Business Intelligence solution.
2009-05-21
1,656 reads
A look an evolution of infrastructures from Bill Immon.
2009-05-21
2,405 reads
This white paper provides an overview of the connectivity options that are available for SQL Server 2008 Integration Services.
2009-05-20
1,939 reads
In a recent tip I outlined a process for converting a date, stored as an integer into a datetime data type. Date and time information for run history of SQL Server Agent jobs is stored within the msdb..sysjobshistory table as an integer data type, not as a datetime as one would expect. As promised, this tip picks up where we left off. On converting the integer-typed run_time into a format that is more user friendly for presentation purposes.
2009-05-20
2,522 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Hi all, I just started using VS Code to work with DB projects. I...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
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 t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers