Taking the Temperature of Your Data
Enhanced model performance comes from extracting as much information content as possible… relative to the specific performance metrics you are using to measure success.
2008-02-12
2,257 reads
Additional Articles
Implementing a Generic Data Access Layer in ADO.NET Part 1
In Part 1 of a 3 Part Series Joydip Kanjilal discusses the implementation of a provider independent Data Access Layer in ADO.NET.
2008-02-11
3,554 reads
RegexClean Transformation
Use the power of regular expressions to cleanse your data right there inside the Data Flow. This transformation includes a full user interface for simple configuration, as well as advanced features such as error output configuration.
2008-02-11
1,704 reads
Deployments and Tests in an iSCSI SAN
This paper describes the deployment and testing results of SQL Server 2005 using the Microsoft iSCSI Initiator with an EqualLogic iSCSI SAN. It helps you understand best practices and the benefits of using an iSCSI SAN with SQL Server 2005.
2008-02-08
2,157 reads
XML data type in SQL Server 2005 vs. VARCHAR (MAX)
Learn performance impacts of the XML data type and VARCHAR (MAX) data type in SQL Server 2005. Here are storage, I/O and CPU results of XML in SQL Server.
2008-02-08
4,761 reads
Building Custom Reporting Services Reports for SQL Server Management Studio
Learn how to build Custom Reports, without installing Reporting Services, using a new feature found in Microsoft Service Pack 2 (SP2) for SQL Server 2005.
2008-02-07
4,068 reads
The Data Stewardship Approach to Data Governance: Chapter 4
If you have considered deploying a Data Governance program at your organization, the chances are that you have asked the following question: "Where does Data Governance fit into the Organization?"
2008-02-07
1,127 reads
Regular Expression Transformation
The regular expression transformation exposes the power of regular expression matching within the pipeline. One or more columns can be selected, and for each column an individual expression can be applied. If all columns selected pass their tests then rows are passed down the successful match output. Rows that fail to pass all tests are directed down the alternate output.
2008-02-06
2,578 reads
The Baker's Dozen: 13 Comparisons Between Crystal Reports and SQL Server Reporting Services
Explore how the rich reporting functionality in Crystal Reports XI and SQL Server Reporting Services 2005 works with common reporting requirements.
2008-02-06
4,376 reads
Principles of ROI Development for Data Quality Projects
This article outlines 15 principles of ROI development for data quality (DQ) projects that can be leveraged across any industry.
2008-02-05
1,747 reads
Blogs
Building the Team: Roles and Responsibilities in FinOps
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In my experience, FinOps success has never been just about tools or dashboards. It...
Tooling for Success: The Best FinOps Tools and Technologies
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As a DevOps person, I know that to make FinOps successful, you need more...
From Planning to Practice: Setting Up Your FinOps Framework
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As someone who works in DevOps, I’m always focused on creating systems that are...
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Restoring On Top II
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SQL Art 2: St Patrick’s Day in SSMS (Shamrock + Pint + Pixel Text)
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Breaking Down Your Work
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Question of the Day
Restoring On Top II
I have a database, DNRTest, that has a number of tables and other objects in it. The other day, I was trying to mock up a test and ran this code on the same server:
-- run yesterday CREATE DATABASE DNRTest2 GO USE DNRTest2 GO CREATE TABLE NewTable (id INT) GOToday, I realize that I need a copy of DNRTest for another mockup, and I run this:
-- run today USE Master BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak' GO RESTORE DATABASE DNRTest2 FROM DISK = 'dnrtest.bak' WITH REPLACEWhat happens? See possible answers