SQL Server 2019 Administration Inside Out

by Randolph West, Melody Zacharias, William Assaf, Sven Aelterman, Louis Davidson

Overview

Dive into SQL Server 2019 administration–and really put your SQL Server DBA expertise to work. This supremely organised reference packs hundreds of timesaving solutions, tips, and workarounds–all you need to plan, implement, manage, and secure SQL Server 2019 in any production environment: on-premises, cloud, or hybrid. Six experts thoroughly tour DBA capabilities available in SQL Server 2019 Database Engine, SQL Server Data Tools, SQL Server Management Studio, PowerShell, and Azure Portal. You’ll find extensive new coverage of Azure SQL, big data clusters, PolyBase, data protection, automation, and more. Discover how experts tackle today’s essential tasks–and challenge yourself to new levels of mastery.

• Explore SQL Server 2019’s toolset, including the improved SQL Server Management Studio, Azure Data Studio, and Configuration Manager
• Design, implement, manage, and govern on-premises, hybrid, or Azure database infrastructures
• Install and configure SQL Server on Windows and Linux
• Master modern maintenance and monitoring with extended events, Resource Governor, and the SQL Assessment API
• Automate tasks with maintenance plans, PowerShell, Policy-Based Management, and more
• Plan and manage data recovery, including hybrid backup/restore, Azure SQL Database recovery, and geo-replication
• Use availability groups for high availability and disaster recovery
• Protect data with Transparent Data Encryption, Always Encrypted, new Certificate Management capabilities, and other advances
• Optimise databases with SQL Server 2019’s advanced performance and indexing features
• Provision and operate Azure SQL Database and its managed instances
• Move SQL Server workloads to Azure: planning, testing, migration, and post-migration

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Product Details

ISBN-13:	9780135560952
Publisher:	Pearson Education
Publication date:	03/11/2020
Series:	Inside Out
Sold by:	Barnes & Noble
Format:	eBook
Pages:	992
File size:	36 MB
Note:	This product may take a few minutes to download.
Age Range:	18 Years

About the Author

Randolph West (they / them) is a technologist and Data Platform MVP from Calgary, Alberta, Canada, and hates writing in the third person because pronouns suck. Randolph is the founder of the Calgary Data User Group, and leader of the Calgary PASS User Group. You can see Randolph presenting at various conferences around the world, and acting on stage and screen. Randolph specializes in implementing best practices, performance tuning, disaster recovery, cloud migrations, software development, and yelling at Microsoft Word. If you’re interested in becoming a public speaker, check out SpeakingMentors.com. Blog: bornsql.ca/blog. Twitter: @_randolph_west. Not to be trusted around chocolate.

Melody Zacharias has worked with SQL Server since version 7, and she is very passionate about all things data! As a Microsoft MVP Melody loves to share her passion with users around the world by teaching at events, working within the SQL community, and mentoring. When not working with data she loves to hike with her dog in the Canadian Rockies. You can find her on her blog at SQLMelody.com where she shares musings on how to make SQL sing, or sometimes just carry a tune, or on Twitter @SQLMelody.

William Assaf (he/him) is a Microsoft SQL Server consultant, speaker, and manager, and blogs about SQL at sqltact.com. William has been a developer, admin, and consultant for databases around the world, having launched from in-house DBA to consulting DBA thanks to the recession. He has helped develop Microsoft SQL Server certification exams since 2012, has been a Regional Mentor for PASS since 2015, and just stepped down from being the lead organizer of SQLSaturday Baton Rouge after a decade leading one of the largest SQLSat events in the world, and the only one with jambalaya. William enjoys volunteering for STEM initiatives as well as guest lecturing at LSU and SELU, where he gives a shoutout to all the ISDS and CIS students. William lives in continuous awe of his far more accomplished high school sweetheart Christine, and they would like to say that empty nesting is pretty great. Both of them hope to see you at PASS Summit and a future SQLSaturday event.

Sven Aelterman started with SQL Server when he first deployed version 2000 in a failover cluster scenario. Since then, he has worked as IT manager, principal consultant, and IT director. He currently serves the Trojans (students) of Troy University as a lecturer in information systems in the Sorrell College of Business and as director of IT for the College. In addition, he is cloud software architect for Sorrell Solutions, a business services nonprofit through which Trojans can gain real-world business and IT experience. In a fledgling attempt to give back to the community, he has spoken at many SQL Saturdays and code camps in the southeastern United States

since 2005. He spoke about SSIS 2012 at Microsoft TechEd 2012. In 2012, he co-authored a book dedicated to SQL Server FILESTREAM. He was a co-author on the 2017 edition of this text. His involvement with Microsoft Azure resulted in the organization of four Global Azure Bootcamp events at Troy University. Sven blogs about a variety of Microsoft technologies at blog.aelterman.com and tweets and retweets about technology @svenaelterman.

Louis Davidson is a data architect for CBN in Virginia Beach, VA; telecommuting from Cleveland, TN (which is not even as glamorous as it sounds.) Louis has written and contributed to many books on SQL Server topics over the past 20 years. His most prominent work has been five editions of his book entitled: Pro SQL Server Relational Database Design and Implementation for Apress in 2016, with a new version forthcoming in 2020. Louis has been a speaker at many SQL Saturday events, and has helped organize events in Nashville and Chattanooga, TN. He blogs on Red-Gate’s Simple-Talk website here: https://www.red-gate.com/simple-talk/author/louis-davidson/ and you can visit his website at http://drsql.org.

Joseph D’Antoni is a Principal Consultant and Microsoft Data Platform MVP with over 20 years of experience working in both Fortune 500 and smaller firms. He has worked with SQL Server and Oracle since version 7 of each database and has specific expertise in performance tuning, infrastructure, and disaster recovery.

Meagan Longoria is a Microsoft Data Platform MVP living in Denver, Colorado. She is an experienced consultant who has worked in business intelligence, data warehousing, and database development for over a decade. She enjoys creating solutions in Azure and SQL Server that make data useful for decision makers. Meagan enjoys sharing her knowledge with the technical community by speaking at conferences, blogging (Datasavvy.me), and sharing tips and helpful links on twitter (@mmarie).

Table of Contents

Part I Introduction Chapter 1 Getting started with SQL Server tools  Chapter 2 Introducing database server components  Chapter 3 Designing and implementing an on-premises database infrastructure
Part II Deployment Chapter 4 Installing and Configuring SQL Server Instances and Features Chapter 5 Installing and configuring SQL Server on Linux Chapter 6 Provisioning and Configuring SQL Server Databases  Chapter 7 Understanding Table Features
Part III SQL Server Management Chapter 8 Maintaining and monitoring SQL Server Chapter 9 Automating SQL Server administration  Chapter 10 Developing, deploying, and managing data recovery  Chapter 11 Implementing high availability and disaster recovery 
Part IV Security Chapter 12 Administering security and permissions Chapter 13 Protecting data through encryption, privacy and auditing
Part V Performance Chapter 14 Performance tuning SQL Server  Chapter 15 Understanding and designing indexes
Part VI Cloud Chapter 16 Designing and implementing hybrid and Azure database infrastructure Chapter 17 Provisioning Azure SQL Database Chapter 18 Provisioning Azure SQL Database managed instance  Chapter 19 Migrating to SQL Server solutions in Azure
Part VII Big Data and Machine Learning Leveraging Big Data and Machine Learning