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SQL Server Data Warehouse Concepts, Schema Design, and Implementation

Companies generate a huge amount of data on a daily basis from such things as sales transactions, inventory changes, and customer interactions. This data originates from different data sources and is stored in operational databases called OLTP (Online Transaction Processing) systems that primary focuses on transactions like data inserts, updates or deletes. Maintaining the transactional data in an OLTP database is important. However, if you need to analyze or report on the data, storing the data in a centralized repository in well-structured schema is necessary.

2026-03-30

External Article

What’s New in SSIS 2025?

There’s a new version of SQL Server released and we’re mainly an on-premises SQL Server shop. We’ve been using Integration Services (SSIS) for years now for all our ETL and data integration needs. With Microsoft’s focus on cloud (Azure and Fabric), does it make sense to upgrade our SSIS packages? Are there any new features?

2026-03-27

External Article

Getting Started with mssql-python for Data Developers

rogrammatic interaction with SQL Server or Azure SQL from a Python script is possible using a driver. A popular driver has been pyodbc that can be used standalone or with a SQLAlchemy wrapper. SQLAlchemy on its own is the Python SQL toolkit and Object Relational Mapper for developers. In the end of 2025 Microsoft released v1 of their own Python SQL driver called mssql-python. How do you get started using mssql-python for programmatic access to your SQL Server?

2026-03-11

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Question of the Day

Running SQLCMD II

I run this command to start SQLCMD:

sqlcmd -S localhost -E -c "proceed"
At the prompt, I type this (the 1> and 2> are prompts):
1> select @@version
2> go
What happens?

See possible answers