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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

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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

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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

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Creating a JSON Document II

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Question of the Day

Creating a JSON Document II

I want to create a JSON document that contains data from this table:

TeamID TeamNameCity         YearEstablished
1      Cowboys  Dallas       1960
2      Eagles   Philadelphia 1933
3      Packers  Green Bay    1919
4      Chiefs   Kansas City  1960
If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName)
FROM dbo.NFLTeams;

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