Microsoft Sql Server 2019: A Beginner's Guide, Seventh Edition

By (author) Petkovic Dusan
Description

Up-to-date Microsoft SQL Server 2019 skills made easy!

Get up and running on Microsoft SQL Server 2019 in no time with help from this thoroughly revised, practical resource. The book offers thorough coverage of SQL management and development and features full details on the newest machine learning, BI, reporting, and security features.

Filled with new examples and hands-on exercises, Microsoft SQL Server 2019: A Beginner''s Guide, Seventh Edition, starts by explaining fundamental relational database system concepts. From there, you will learn how to write Transact-SQL statements; execute simple and complex database queries; handle management, backup, and security; and use the powerful analysis and BI tools. XML, spatial data, and full-text search are also covered in this complete and rigorous introductory guide.

• Revised from the ground up to cover the latest version of SQL Server
• Designed for new users as well as experienced users who are migrating to SQL Server 2019
• Written by a prominent professor and best-selling author

Table of contents
PART 1: Basic Concepts
Chapter 1: Relational Database Systems: An Introduction
Chapter 2: Installation of SQL Server
Chapter 3: Front-end Systems of SQL Server

PART 2: Transact-SQL Language
Chapter 4: SQL Components
Chapter 5: Data Definition Language
Chapter 6: Queries
Chapter 7: Modification of a Table''s Contents
Chapter 8: Stored Procedures and User-Defined Functions
Chapter 9: System Catalog
Chapter 10: Indices
Chapter 11: Views
Chapter 12: Security System of the Database Engine
Chapter 13: Concurrency Control
Chapter 14: Triggers

PART 3: System Administration
Chapter 15: System Environment of the Database Engine
Chapter 16: Backup, Recovery and System Availability
Chapter 17: Automating System Administration
Chapter 18: Data Replication
Chapter 19: Query Optimizer
Chapter 20: Performance Tuning
Chapter 21: In-Memory OLTP

PART 4: Business Intelligence
Chapter 22: Business Intelligence: An Introduction
Chapter 23: SQL Server Analysis Services
Chapter 24: Business Intelligence and Transact-SQL
Chapter 25: SQL Server Reporting Services
Chapter 26: Optimizing Techniques for ROLAP
Chapter 27: Columnstore Indices
Chapter 28: Intelligent Query Processing

PART 5: Beyond Relational Data
Chapter 29: SQL/JSON Support
Chapter 30: Spatial and Temporal Data
Chapter 31: Graph Databases

PART 6: Machine Learning
Chapter 31: Support for R
Chapter 32: Support for the Python Language

Biographical note
Dusan Petkovic (Germany) is a professor in the Department of Computer Science at the Polytechnic in Rosenheim, Germany. He frequently contributes to SQL Server Magazine and has published 8 other computer books in Germany for Addison Wesley and McGraw-Hill.