Data Access

SQLServerCentral Article

Use SQLAlchemy ORMs to Access MongoDB Data in Python

  • Article

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

4,474 reads

SQLServerCentral Article

Prepare, Blend, and Analyze Salesforce Data in Alteryx Designer 

  • Article

The ODBC Driver for Salesforce from CData provides ODBC-based access to live Salesforce data, allowing you to interact with Salesforce data in a range of BI, reporting, and ETL tools — as well as directly using SQL queries. In this article, we demonstrate how to connect to Salesforce data using an ODBC connection in Alteryx Designer to conduct self-service BI, data preparation, data blending, and advanced […]

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2021-09-15

562 reads

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Fun with JSON II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Fun with JSON II

Changing Data Types

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing Data Types

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Question of the Day

Fun with JSON II

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 t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers