Microsoft SQL Server 2017 on LinuxThis comprehensive guide shows, step-by-step, how to set up, configure, and administer SQL Server 2017 on Linux for high performance and high availability. Written by a SQL Server expert and respected author, Microsoft SQL Server 2017 on Linux teaches valuable Linux skills to Windows-based SQL Server professionals. You will get clear coverage of both Linux and SQL Server and complete explanations of the latest features, tools, and techniques. The book offers clear instruction on adaptive query processing, automatic tuning, disaster recovery, security, and much more.
Understand how SQL Server 2017 on Linux works; Install and configure SQL Server on Linux; Run SQL Server on Docker containers; Learn Linux Administration; Troubleshoot and tune query performance in SQL Server; Learn what is new in SQL Server 2017; Work with adaptive query processing and automatic tuning techniques; Implement high availability and disaster recovery for SQL Server on Linux; Learn the security features avai ...
Tabular Modeling in Microsoft SQL Server Analysis Services, 2nd EditionCreate a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions. Led by two BI experts, you will learn how to build, deploy, and query a tabular model by following detailed examples and best practices. This hands-on book shows you how to use the tabular model's in-memory database to perform rapid analytics - whether you are new to Analysis Services or already familiar with its multidimensional model.
Discover how to: Determine when a tabular or multidimensional model is right for your project; Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2015; Integrate data from multiple sources into a single, coherent view of company information; Choose a data-modeling technique that meets your organization's performance and usability requirements; Implement security by establishing administrative and data user roles; Define and implement partitioning strategies to r ...
Beginning Backup and Restore for SQL ServerBe guided through the techniques to back up and restore databases and files in SQL Server. Multiple techniques are presented for ensuring the integrity and consistency of database backups, as well as the reliability and manageability of restoring from backups.
In today's data-driven world, the most important asset that a company has is its data. Data recovery strategies can be wide ranging; from the practically non-existent backup without verification to a very complex, distributed, and redundant system. An important objective for any database administrator is data loss prevention, and in a catastrophic data loss event, pre-defined data recovery techniques must be employed in order to get the databases back up and running efficiently and quickly.
Using a tutorial method of teaching, Beginning Backup and Restore for SQL Server explores the many facets behind the principles of backing up and restoring data from your database, and then shows practical application methods for gettin ...
SQL Server 2017 Query Performance TuningIdentify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.
This book covers the latest in performance optimization features and techniques and is current with SQL Server 2017. If your queries are not running fast enough and you're tired of phone calls from frustrated users, then this book is the answer to your performance problems.
SQL Server 2017 Query Performance Tuning is about more than quick tips and fixes. You'll learn to be proactive in establishing performance baselines using tools such as Performance Monitor and Extended Events. You'll recognize bottlenecks and defuse them before the phone rings. You'll learn some quick solutions too, but emphasis is on designing for performance and getting it right. The goal ...
SQL Server Advanced Data TypesDeliver advanced functionality faster and cheaper by exploiting SQL Server's ever-growing amount of built-in support for modern data formats. Learn about the growing support within SQL Server for operations and data transformations that have previously required third-party software and all the associated licensing and development costs. Benefit through a better understanding of what can be done inside the database engine with no additional costs or development time invested in outside software.
Widely used types such as JSON and XML are well-supported by the database engine. The same is true of hierarchical data and even temporal data. Knowledge of these advanced types is crucial to unleashing the full power that's available from your organization's SQL Server database investment.
SQL Server Advanced Data Types explores each of the complex data types supplied within SQL Server. Common usage scenarios for each complex data type are discussed, followed by a detailed discussion on ...
Pro SQL Server on LinuxGet SQL Server up and running on the Linux operating system and containers. No database professional managing or developing SQL Server on Linux will want to be without this deep and authoritative guide by one of the most respected experts on SQL Server in the industry. Get an inside look at how SQL Server for Linux works through the eyes of an engineer on the team that made it possible.
Microsoft SQL Server is one of the leading database platforms in the industry, and SQL Server 2017 offers developers and administrators the ability to run a database management system on Linux, offering proven support for enterprise-level features and without onerous licensing terms. Organizations invested in Microsoft and open source technologies are now able to run a unified database platform across all their operating system investments. Organizations are further able to take full advantage of containerization through popular platforms such as Docker and Kubernetes.
Pro SQL Server on Linux wal ...
Blazor Quick Start GuideBlazor is an open source .NET web framework based on C#, Razor, and HTML that runs in the browser with WebAssembly. It simplifies web development by allowing us to write .NET-based web apps that run client-side in web browsers. We can take advantage of our existing knowledge of C# to write both client - side and server-side applications, and have a full stack .NET development experience.
This book introduces you to the core concepts of Blazor, and how to apply these to a real-world web app with the help of Entity Framework Core and SQL Server.
The book begins with an introduction to Blazor and its advantages. Then, you will learn about the building blocks of Blazor, including Blazor components, data binding, dependency injection, routing, and JavaScript Interop.
Moving on, you will learn how to create a Single Page Application (SPA) using Blazor. You will also use the Entity Framework Core and ADO.NET with Blazor to extend your application's data-handling capabilities. Toward ...
Hands-On Data Science with SQL Server 2017SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features.
Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you wi ...
Securing SQL Server, 2nd EditionProtect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy for your database enterprise. This new edition covers threat analysis, common attacks and countermeasures, and provides an introduction to compliance that is useful for meeting regulatory requirements such as the GDPR. The multi-layered approach in this book helps ensure that a single breach does not lead to loss or compromise of confidential, or business sensitive data.
Database professionals in today's world deal increasingly with repeated data attacks against high-profile organizations and sensitive data. It is more important than ever to keep your company's data secure. Securing SQL Server demonstrates how developers, administrators and architects can all play their part in the protection of their company's SQL Server enterprise.
This book not only provides a comprehensive guide to implementing the security model in SQL Server, including coverage of technologies such as Alw ...
The Definitive Guide to DAX, 2nd EditionNow 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. You'll learn exactly what happens under the hood when you run a DAX expression, and use this knowledge to write fast, robust code. This edition focuses on examples you can build and run with the free Power BI Desktop, and helps you make the most of the powerful syntax of variables (VAR) in Power BI, Excel, or Analysis Services. Want to leverage all of DAX's remarkable capabilities? This no-compromise deep dive is exactly what you need.
Perform powerful data analysis with DAX for Power BI, SQL Server, and Excel: Master core DAX concepts, including calculated columns, measures, and calculation groups; Work efficiently with basic and advanced table functions; Unde ...