The Agile Cult
Lots of developers have embraced Agile development, and Steve Jones thinks it's a good way to build software. However, it's not necessarily as easy as you might think.
Face to Face
The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.
Face to Face
The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.
Face to Face
The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.
The Glue that Binds
This Friday Steve Jones polls the community of developers about the time they spend dealing with data access.
Build a Metadata-Driven ETL Platform by Extending Microsoft SQL Server Integration Services
SQL Server 2008 Integration Services (SSIS) provides a flexible and scalable architecture that enables high-performance data extract, transform, and load (ETL). The Microsoft Business Intelligence Center of Excellence has extended SSIS to a metadata-driven platform to more effectively build, deploy, and manage ETL processes in large data warehousing environments.
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.
Good Data Loss - Database Weekly (Sept 22, 2008)
As we retain more and more data, it becomes important not just to decide how long to retain different types of data, but also to identify that data that can be removed. Steve Jones talks about some of the challenges of this with databases.
Good Data Loss - Database Weekly (Sept 22, 2008)
As we retain more and more data, it becomes important not just to decide how long to retain different types of data, but also to identify that data that can be removed. Steve Jones talks about some of the challenges of this with databases.
Blogs
T-SQL Tuesday #198 Invitation: How Do You Detect Data Changes?
It's time for T-SQL Tuesday #198! This month's topic is change detection. The post T-SQL...
Understanding Fabric MCP
By James Serra
Model Context Protocol, or MCP, is one of those technical ideas that sounds more...
AWS RDS Aurora - our first approach
When starting with AWS RDS Aurora for managing relational databases in the cloud, many...
Forums
Cara Menghapuskan Annual Fee Kartu Kredit DBS
Untuk menghapus iuran tahunan (annual fee) kartu kredit DBS, hubungi DBS Customer Center di...
BCA KCP CILEUNGSI TLP/WA 083800209966
Jl. Transyogi Cileungsi-Cibubur. 3-4 RT 002/003, Cileungsi, Kec. Cileungsi, Kabupaten Bogor, DKI Jakarta 16820
BCA KCP KAS RANCAEKEK TLP/WA 083800209966
Jl. Raya Bandung - Garut No.KM 21, RW.5, Mekargalih, Kec. Jatinangor, Kabupaten Bandung, Jawa...
Question of the Day
Creating a JSON Document III
I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers