Database Design and Implementation

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SQL Server Data Warehouse Concepts, Schema Design, and Implementation

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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

Designing SQL Server Pipelines That Are Ready for AI Before You Actually Need AI

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Introduction. Why AI Readiness Starts in the Database You probably don’t need machine learning today. Most organizations don’t. You already have reporting dashboards, operational workflows, and business intelligence that work just fine without neural networks or predictive models. That’s not a failure. It’s normal. The problem doesn’t show up immediately. It shows up a few […]

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2026-02-27

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External Article

Data Encoding Schemes

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Your choice of how you encode data can be significant. With computers and databases, you have a wide range of options. As a programmer, you will likely be called upon at some time in your career to design and coding scheme for particular application. It would really help if you at least avoided designing a bad one.

2025-06-30

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Before Using AI with Business Data, Read This

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Artificial intelligence tools are quickly becoming part of daily business operations, from document analysis...

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Question of the Day

Detecting Deadlocks Quickly

In the Database Engine, when a deadlock is detected, what does the detection interval shrink to (in time)?

See possible answers