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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

SQLServerCentral Article

SQL Server 2022 Build List

This is a list of the builds for SQL Server 2022. There are other build lists available here. A list of all the builds that I can find and install on my Build VM. If you find a build not listed here, please let the webmaster know (webmaster at sqlservercentral.com). All builds are listed in reverse […]

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2026-03-27 (first published: )

4,871 reads

SQLServerCentral Article

SQL Server 2025 Build List

This is a list of the builds for SQL Server 2025. There are other build lists available here. A list of all the builds that I can find and install on my Build VM. If you find a build not listed here, please let the webmaster know (webmaster at sqlservercentral.com). All builds are listed in reverse […]

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2026-03-27 (first published: )

960 reads

SQLServerCentral Article

Using PostgreSQL as a NoSQL Store and a Search Engine

Introduction We mostly get inclined to use/introduce MongoDB for JSON storing/processing in our database system and Elasticsearch for searching operations in JSON data. However, what we often tend to overlook is that in reality, PostgreSQL can actually act as both NoSQL store and a powerful search engine too. It also comes with ACID guarantees, transactions, […]

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2026-03-27

1,410 reads

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Question of the Day

A Fun Computer Quote

Which movie featured this quote?

"All programs have a desire to be useful."
Happy April Fools!

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