In a world dominated by data, organizations heavily rely on business intelligence tools like Power BI for deriving insights and informed decision-making. Yet, as data volumes grow and user demands increase, achieving optimal performance becomes challenging.
2026-03-30 (first published: 2025-03-26)
1,946 reads
A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.
2026-03-27 (first published: 2026-02-04)
1,532 reads
Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller.
2026-03-25 (first published: 2026-02-03)
735 reads
A step-by-step guide to harness the power of Microsoft Fabric in developing data analytics solutions for various use cases
2026-03-23 (first published: 2024-11-25)
13,035 reads
This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.
2026-03-20 (first published: 2026-02-03)
489 reads
Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques.
2026-03-16 (first published: 2026-02-03)
262 reads
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each.
2026-03-11 (first published: 2024-02-29)
6,267 reads
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
2026-03-09 (first published: 2026-02-03)
535 reads
Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization.
2026-02-16 (first published: 2024-09-18)
3,956 reads
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.
2026-02-13 (first published: 2025-02-06)
5,467 reads
By Vinay Thakur
Following up on my Part 1 baseline, the journey from 2017 onward changed how...
By Brian Kelley
In cryptography, the RSA and ECC algorithms which we use primarily for asymmetric cryptography...
By Steve Jones
In today’s world, this might mean something different, but in 2010, we had this...
I've got a table with 186,703,969 rows, about 300GB of data. There are several...
I created a SQL Database in Azure Portal but I've just noticed it also...
Comments posted to this topic are about the item An Unusual Identity
What values are returned when I run this code?
CREATE TABLE dbo.IdentityTest2
(
id NUMERIC(10,0) IDENTITY(10,10) PRIMARY KEY,
somevalue VARCHAR(20)
)
GO
INSERT dbo.IdentityTest2
(
somevalue
)
VALUES
( 'Steve')
, ('Bill')
GO
SELECT top 10
id
FROM dbo.IdentityTest2 See possible answers