CosmosDB

SQLServerCentral Article

Quick and Effective Migration Between CosmosDB Collections Using ADF

  • Article

This document aims to explain the process of using ADF (Azure data Factory) to make a copy of a Cosmos DB (Instance A)  collection into a new collection in another Cosmos DB Instance effectively and cost effectively. For example, here is our  Instance A in the Data Explorer: Here is Instance B: We are looking […]

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2024-03-25

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SQLServerCentral Article

Azure Cosmos DB – HTAP using Azure Synapse Link

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In this article, we will explore the HTAP capabilities of Cosmos DB. The goal is to derive real-time insights from transactional changes made to Cosmos DB, in a cost-effective manner with minimal overhead. I want the solution to be scalable, reliable and overall simple to maintain.

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2021-11-03

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Technical Article

Introduction to the Cosmos DB Emulator

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Cosmos DB delivers a wide range of advantages over traditional SQL and NoSQL-based data stores, including support for multiple consistency levels, latency and throughput guarantees, policy-based geo-fencing, automatic scaling, and multi-master replication model. However, it is a significant departure from the traditional database management and development approach that most database administrators are familiar with. Discover the offerings that you can use at no cost to gain hands-on experience with Cosmos DB.

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2019-05-21

Technical Article

Azure Cosmos DB Consistency Levels

  • Article

The majority of traditional database management systems are responsible for making sure that any changes to their data are consistently reflected in the results of subsequent queries. Azure Cosmos DB extends the range of consistency options by providing support for bounded-staleness, session, and consistent prefix models.

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2018-02-09

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Split Large Queries in Athena with a Simple Modulo Trick

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Finding Trailing Spaces

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Question of the Day

Finding Trailing Spaces

I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:

CustomerID CustomerName PreferredName
1          Steve        Steve               
2          Andy         Andy               
3          Brian        Brian               
4          Allan        Allan               
5          Devin        Devin               
6          Steve        Steve               
7          Sally        Sally
I want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT 
       CustomerID,
       CustomerName,
       PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName);

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