Books

Pro Encryption in SQL Server 2022

Pro Encryption in SQL Server 2022: Provide the Highest Level of Protection for Your Data

This in-depth look at the encryption tools available in SQL Server shows you how to protect data by encrypting it at rest with Transparent Data Encryption (TDE) and in transit with Transport Level Security (TLS). You will know how to add the highest levels of protection for sensitive data using Always Encrypted to encrypt data also in memory and be protected even from users with the highest levels of access to the database. The book demonstrates actions you can take today to start protecting your data without changing any code in your applications, and the steps you can subsequently take to modify your applications to support implementing a gold standard in data protection.

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2024-05-13 (first published: )

2,404 reads

T-SQL Fundamentals

T-SQL Fundamentals

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.

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2024-05-13 (first published: )

2,044 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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2024-05-10 (first published: )

1,082 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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2024-05-08 (first published: )

4,828 reads

Deciphering Data Architectures

Deciphering Data Architectures

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.

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2024-05-06 (first published: )

573 reads

SQL Server 2022 Revealed

SQL Server 2022 Revealed: A Hybrid Data Platform Powered by Security, Performance, and Availability

Know how to use the new capabilities and cloud integrations in SQL Server 2022. This book covers the many innovative integrations with the Azure Cloud that make SQL Server 2022 the most cloud-connected edition ever. The book covers cutting-edge features such as the blockchain-based Ledger for creating a tamper-evident record of changes to data over time that you can rely on to be correct and reliable.

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2024-05-03 (first published: )

2,630 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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2024-05-03 (first published: )

4,175 reads

Practical Database Auditing for Microsoft SQL Server and Azure SQL

Practical Database Auditing for Microsoft SQL Server and Azure SQL: Troubleshooting, Regulatory Compliance, and Governance

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

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2024-05-01 (first published: )

5,455 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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2024-04-10 (first published: )

3,315 reads

Blogs

I like KQL and I like managing my test data – are they mates?

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Full-Text Search in SQL Server: A Comprehensive Guide

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Forums

Subscription to Oracle DB not working after upgrading subscriber to Oracle 19c

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Hi Replication and publisher configured on the same sql server 2022 version. Subscription to...

Script to Merger duplicate indexes

By EM2

Hello, I am trying to firgure out how to merge duplicate indexes using a...

using Openrowset to access delta files in ADLG2

By river1

Dears, I was told that I cannot access delta files in SQL Server Managed...

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The Query Traceflag

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