Master Transact-SQL's fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance.
2024-04-26 (first published: 2024-02-20)
1,603 reads
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.
2024-04-24 (first published: 2024-02-20)
820 reads
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.
2024-04-22 (first published: 2023-08-18)
4,549 reads
Troubleshoot query performance issues, identify anti-patterns in your code, and write efficient T-SQL queries with this guide for T-SQL developers
2024-04-19 (first published: 2024-02-29)
431 reads
Know how to track changes and key events in your SQL Server databases in support of application troubleshooting, regulatory compliance, and governance. This book shows how to use key features in SQL Server ,such as SQL Server Audit and Extended Events, to track schema changes, permission changes, and changes to your data. You’ll even learn how to track queries run against specific tables in a database. ss
2024-04-12 (first published: 2023-05-08)
5,215 reads
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.
2024-04-10 (first published: 2023-06-19)
3,292 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.
2024-04-09 (first published: 2024-02-29)
59 reads
Troubleshoot slow-performing queries and make them run faster. Database administrators and SQL developers are constantly under pressure to provide more speed. This new edition has been redesigned and rewritten from scratch based on the last 15 years of learning, knowledge, and experience accumulated by the author. The book Includes expanded information on using extended events, automatic execution plan correction, and other advanced features now available in SQL Server.
2024-04-08 (first published: 2023-01-12)
8,800 reads
Dive into SQL Server 2022 administration and grow your Microsoft SQL Server data platform skillset. This well-organized reference packs in timesaving solutions, tips, and workarounds, all you need to plan, implement, deploy, provision, manage, and secure SQL Server 2022 in any environment: on-premises, cloud, or hybrid, including detailed, dedicated chapters on Azure SQL Database and Azure SQL Managed Instance.
2024-04-03 (first published: 2023-08-07)
4,304 reads
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.
2024-03-29 (first published: 2023-07-13)
4,160 reads
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A brief introduction to the tool and its advantages for database migrations DevOps is...
Comments posted to this topic are about the item One more reason to use...
I'm tracing activity on one database and would like to include the client_app_name in...
select Custno, Addr1, City, Res_Phone, Bus_Phone, Fax_Phone, Marine_Phone, Pager_Phone, Other_Phone, email1, email2 from customer...
I want to mark a transaction in the log as a recovery point. How do I do this in my code if I use the transaction, myTran?
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