Kimball University: A Data Warehousing Fitness Program for Lean Times
How can you do more with less? Follow this data warehousing/BI strengthening regimen to cut cost, avoid expenditures and bulk up the bottom line.
2009-03-24
2,851 reads
Data Warehousing
The Flaws of the Classic Data Warehouse Architecture, Part 1
Visit ten randomly picked customers that own a data warehouse architecture, and you will see that at least eight have developed a classic data warehouse architecture (CDWA). What do I mean by a CDWA? In a CDWA, data is copied periodically from production systems to the central data warehouse.
2009-03-20
6,058 reads
Calculations Made Outside of the Data Warehouse
At first glance, a client appeared to be violating a cardinal rule of data warehousing. However, Bill Inmon's further investigation revealed that perhaps their actions were acceptable.
2008-12-29
2,789 reads
CDC and Data Warehouse
The following article shows how Change Data Capture can be used to capture incremental data changes and use them in an ETL Process
2008-11-10
3,814 reads
Introduction to New Data Warehouse Scalability Features in SQL Server 2008
This paper introduces the new performance and manageability features for data warehousing across all these components. All these features contribute to improved scalability.
2008-10-17
2,632 reads
Scaling The Data Warehouse
Data warehouses aren't just exploding in size, they're also supporting more users and increasingly complex queries, all in shorter time frames. Here's how to make sure yours is ready to scale.
2008-10-16
2,707 reads
Data Warehouse Capacity Planning as Capacity Enforcement
Capacity planning is a problem for a data warehouse because it sets contrasting functional requirements against each other. On one hand, data warehouse customers consume data warehouse capacity as they query the data in the data warehouse business intelligence (BI) reporting. Meanwhile, applications consume data warehouse capacity as they load data into a data warehouse through the extract, transform and load (ETL) process.
2008-09-19
3,269 reads
Murphy’s Laws of Data Warehousing: What Goes Bump in the Night?
Murphy’s Law tells us that whatever can go wrong will go wrong. This axiom applies to all aspects of life, including data warehousing. The following corollaries to Murphy’s Law relate this inevitability of something going “bump” in the night to data warehousing.
2008-09-15
3,411 reads
Report Warns Of Data Warehouse 'Bottleneck' In Real-Time Analytics
In a report entitled "Really Urgent Analytics: The Sweet Spot for Real-Time Data Warehousing," Forrester advises intelligence and knowledge management professionals to familiarize themselves with the various approaches for adapting a data warehouse to meet real-time requirements, and, if necessary, consider bypassing the data warehouse altogether.
2008-09-02
2,038 reads
Essential Steps for the Integrated Enterprise Data Warehouse, Part 2
This article describes what the dimension manager and fact provider do, and how to configure business intelligence tools to use the integrated EDW.
2008-05-14
2,226 reads
Blogs
From Data Custodian to Innovation Catalyst: The Evolving Role of the CDO
By Chris Yates
There was a time when the Chief Data Officer lived in the shadows of...
Down the Rabbit Hole: Dealing with Ad-Hoc Data Requests
By Rayis Imayev
"But I don’t want to go among mad people," Alice remarked."Oh, you can’t help...
Adding a Local Model to Ollama through the GUI
By Steve Jones
I saw some good reviews of the small gemma3 model in a few places...
Forums
Create an HTML Report on the Status of SQL Server Agent Jobs
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We Should Demand Better
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Estimated Rows
Comments posted to this topic are about the item Estimated Rows
Question of the Day
Estimated Rows
I have two calls to the GENERATE_SERIES TVF in this code:
SELECT TOP 10 gs.value FROM GENERATE_SERIES(1, 10) AS gs ORDER BY NEWID () OPTION (RECOMPILE); go DECLARE @a int = 10; SELECT TOP (@a) gs.value FROM GENERATE_SERIES(1, @a) AS gs ORDER BY NEWID () OPTION (RECOMPILE);In the actual query plans, what is the estimated number of rows for each batch? See possible answers