Books

Introduction to PostgreSQL for the data professional

Introduction to PostgreSQL for the data professional

Adoption and use of PostgreSQL is growing all the time. From mom-and-pop shops to large enterprises, more data is being managed by PostgreSQL. In turn, this means that more data professionals need to learn PostgreSQL even when they have experience with other databases. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging. This book seeks to help with that challenge.

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2025-10-15 (first published: )

3,033 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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2025-10-14

4 reads

SQL Server Advanced Troubleshooting and Performance Tuning: Best Practices and Techniques

This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible.

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2025-10-14

6 reads

The Phoenix Project

The Phoenix Project

In this newly updated and expanded edition of the bestselling The Phoenix Project, co-author Gene Kim includes a new afterword and a deeper delve into the Three Ways as described in The DevOps Handbook.

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2025-10-10 (first published: )

2,924 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.

3.5 (2)

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2025-10-08 (first published: )

5,411 reads

Architecting Power BI Solutions in Microsoft Fabric

Business Intelligence (BI) tools like Power BI are used by a wide range of professionals, creating diverse and complex scenarios, and finding the right solution can be daunting, especially when multiple approaches exist for a single use case. The author distills his 17 years of experience on various data platform technologies in this book to walk you through various Power BI usage scenarios.

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2025-10-06 (first published: )

2,146 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: )

10,447 reads

Blogs

A Broken Copilot Query

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Forums

Create an HTML Report on the Status of SQL Server Agent Jobs

By Nisarg Upadhyay

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Collation errors...what is best way to deal with it?

By water490

Hi I have a SP that occasionally get this error: Cannot resolve the collation...

Was the index created or not?

By water490

Hi everyone I am getting an error when I create the index but I...

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Question of the Day

Estimated Rows

I have two calls to the GENERATE_SERIES TVF in this code:

SELECT   TOP 10 gs.value
FROM     GENERATE_SERIES(1, 10) AS gs
ORDER BY NEWID ()
OPTION (RECOMPILE);
go
DECLARE @a int = 10;
SELECT   TOP (@a) gs.value
FROM     GENERATE_SERIES(1, @a) AS gs
ORDER BY NEWID ()
OPTION (RECOMPILE);
In the actual query plans, what is the estimated number of rows for each batch in SQL Server 2022?

See possible answers