Articles

SQLServerCentral Article

Working with the Delete Activity in Azure Data Factory

Introduction We can use the delete activity in Azure Data Factory to delete files from both on-premises and cloud storage. In this article, we will discuss the delete activity with the various options available for the file deletion. I will show the following operations with the Delete Activity: Delete files from a folder. Delete contents […]

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2021-09-27

15,666 reads

SQLServerCentral Article

Create an RPA Flow that Connects to Oracle Data in UiPath Studio

If your company uses legacy technology systems, you can use the UiPath RPA platform to extend your process automation capabilities to these systems and eliminate repetitive, error-prone tasks of manually updating them. By using UiPath Studio, you can build an RPA program just like drawing a diagram.  With the CData ODBC Driver for Oracle, users can embed Oracle data in the workflow.  Let’s […]

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2021-09-24

1,520 reads

SQLServerCentral Article

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

4,461 reads

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

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Question of the Day

Fun with JSON I

I have some data in a table:

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

See possible answers