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The Phoenix Project

The Phoenix Project: A Graphic Novel about IT, DevOps, and Helping Your Business Win

Adapted from the acclaimed bestselling book, The Phoenix Project Graphic Novel Volume 1 introduces readers to a stalwart cast of characters as they are challenged by the four types of work that impact complex workflows.

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2026-01-26 (first published: )

2,948 reads

Murach's SQL Server 2022 for developers

Murach's SQL Server 2022 for Developers is a comprehensive guide to database design and management. This computer book teaches essential SQL statements through clear examples and practical exercises. The book's unique paired-pages format makes learning database software concepts easier, while providing in-depth coverage of database management fundamentals. Ideal for both beginners and seasoned developers seeking to enhance their data management skills.

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2026-01-05 (first published: )

1,366 reads

SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration

SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration

With built-in AI for application development and advanced analytics powered by Microsoft Fabric, SQL Server 2025 empowers you to innovate—securely and confidently. This book shows you how.

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2025-12-05 (first published: )

202 reads

Big Data Analytics cover

Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.

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2025-10-08 (first published: )

5,522 reads

The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform

The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform

Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2.

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2025-10-03 (first published: )

10,535 reads

The Unicorn Project

In The Unicorn Project, we follow Maxine, a senior lead developer and architect, as she is exiled to the Phoenix Project, to the horror of her friends and colleagues, as punishment for contributing to a payroll outage. She tries to survive in what feels like a heartless and uncaring bureaucracy and to work within a system where no one can get anything done without endless committees, paperwork, and approvals.

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2025-09-15 (first published: )

4,434 reads

Pro T-SQL 2022: Toward Speed, Scalability, and Standardization for SQL Server Developers

Learn how to write and design simple and efficient T-SQL code. This is a hands-on book that teaches you how to write better T-SQL with examples and straightforward explanations.

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2025-08-06 (first published: )

14,013 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