Microsoft SQL Server 2019: A Beginner's Guide, Seventh Edition (DATABASE & ERP - OMG)
Language: English
Published by McGraw Hill, 2020
- Softcover
- Used
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- Title
- Microsoft SQL Server 2019: A Beginner's Guide, Seventh Edition (DATABASE & ERP - OMG)
- Author
- Petkovic, Dusan
- Publisher
- McGraw Hill
- Publication year
- 2020
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1260458873
- ISBN 13
- 9781260458879
- Item weight
- 1,252 grams
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Get Up to Speed on Microsoft® SQL Server® 2019 Quickly and Easily
Start working with Microsoft SQL Server 2019 in no time with help from this thoroughly revised, practical resource. Filled with real-world 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’ll learn how to write Transact-SQL statements, execute simple and complex database queries, handle system administration and security, and use powerful analysis and reporting tools. New topics such as SQL and JSON support, graph databases, and support for machine learning with R and Python are also covered in this step-by-step tutorial.
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• Install, configure, and customize Microsoft SQL Server 2019
• Create and modify database objects with Transact-SQL statements
• Write stored procedures and user-defined functions
• Handle backup and recovery, and automate administrative tasks
• Tune your database system for optimal availability and reliability
• Secure your system using authentication, encryption, and authorization
• Work with SQL Server Analysis Services, Reporting Services, and other BI tools
• Gain knowledge of relational storage, presentation, and retrieval of data stored in the JSON format
• Manage graphs using SQL Server Graph Databases
• Learn about machine learning support for R and Python
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