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Use SQLAlchemy ORMs to Access MongoDB Data in Python

The wide ecosystem of Python modules enables you get to work fast and effectively integrate your systems. You can use the CData Python Connector for MongoDB and the SQLAlchemy toolkit to build MongoDB-connected Python applications and scripts.  This article details how to use SQLAlchemy to connect to MongoDB data to query, update, delete, and insert MongoDB data.  Connecting to MongoDB Data  Connecting to MongoDB data is similar to connecting to any other relational database. Create a […]

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2021-09-22

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External Article

What's the real story behind the explosive growth of data?

IDC’s recent Global DataSphere Forecast, 2021-2025 predicts that global data creation and replication will experience a compound annual growth rate of 23% over the forecast period. But what’s causing the growth? Where will all of that extra data be stored? And how should we, as data professionals, prepare for it? Read this blog to explore these important questions.

2021-09-22

SQLServerCentral Article

How to Flatten JSON in Azure Data Factory?

When you work with ETL and the source file is JSON, many documents may get nested attributes in the JSON file. Your requirements will often dictate that you flatten those nested attributes. There are many ways you can flatten the JSON hierarchy, however; I am going to share my experiences with Azure Data Factory (ADF) […]

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2021-09-17

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The Empty Aggregate

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Question of the Day

The Empty Aggregate

I have this table in a SQL Server 2025 database:

CREATE TABLE [dbo].[CustomerOrder]
(
[OrderID] [int] NULL,
[CustomerID] [int] NULL,
[total] [money] NULL
) ON [PRIMARY]
GO
What is returned from this code? (answers are for the sum and then the count)
SELECT SUM(total) AS sum,
       COUNT(total) AS count
FROM dbo.CustomerOrder;



See possible answers