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Introducing Microsoft SQL Server 2019

You're reading from Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

Product type Paperback

Published in Apr 2020

Publisher Packt

ISBN-13 9781838826215

Length 488 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Server

Concepts

Database Administration

Authors (8):

Allan Hirt

Dustin Ryan

Mitchell Pearson

Kellyn Gorman

Dave Noderer

Buck Woody

Arun Sirpal

James Rowland-Jones

+4 more

View More author details

Table of Contents (15) Chapters

Preface

About Microsoft SQL Server 2019

1. Optimizing for performance, scalability and real‑time insights

2. Enterprise Security FREE CHAPTER

3. High Availability and Disaster Recovery

4. Hybrid Features – SQL Server and Microsoft Azure

5. SQL Server 2019 on Linux

6. SQL Server 2019 in Containers and Kubernetes

7. Data Virtualization

8. Machine Learning Services Extensibility Framework

9. SQL Server 2019 Big Data Clusters

10. Enhancing the Developer Experience

11. Data Warehousing

12. Analysis Services

13. Power BI Report Server

14. Modernization to the Azure Cloud

Temporal tables

Temporal tables store data and all changes so that data from a previous point in time can be retrieved. SQL Server 2016 added support for temporal tables. Temporal tables are also known as system-versioned temporal tables.

Each temporal table is paired with a history table so that normal queries pull data from the table as normal, but historical queries can be constructed that pull data from the history table. The following diagram illustrates this:

Figure 10.8: Temporal table structure

Why temporal tables?

Some use cases of temporal tables are as follows:

Audit trail – Keep a full log of what changed in the table.
Accidental changes – Easily restore data that was mistakenly changed or deleted.
Historical reports – Be able to report on how data changes over time.
Detect changes – Compare current and previous data more easily.

Temporal table example

When creating temporal tables...

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Authors (8)

Kellyn Gorman

Kellyn Gorman

Kellyn Gorman is a Customer Success Engineer at Microsoft specializing on Oracle and data platforms on Azure. An alumnus of both Microsoft's Idera ACE and Oracle ACE Director programs, a Friend of Redgate, she has been recognized with numerous awards over the years for her technical contributions and community volunteerism. She is one of only six women part of the Oak Table, a network for the Oracle scientist. She has extensive experience in environment migrations, optimization, automation and architecture. Kellyn is well known for her technical content and thought leadership through her presentations, keynotes, webinars, publications and engaging with her on social media presence as DBAKevlar or her blog.

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Buck Woody

Buck Woody

Buck Woody works on the Azure Data Services team at Microsoft and uses data and technology to solve business and science problems. With over 35 years of professional and practical experience in computer technology, he is also a popular speaker at conferences around the world; author of over 700 articles and eight books on databases, machine learning, and R, he also sits on various Data Science Boards at two US Universities, and specializes in advanced data analysis techniques.

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Arun Sirpal

Arun Sirpal

Arun Sirpal is a Microsoft MVP specialized within the Microsoft Data Platform which includes SQL Server 2008 R2-2019 (performance tuning, HA/DR, T-SQL, security, backups and general DBA tasks) and Microsoft Azure based technologies such as SQL Server within Azure virtual machines (IaaS), Azure SQL Database (PaaS), SQL database elastic pools, managed instances, Azure SQL DW, Azure Synapse, ADFv2, Cosmos DB (NoSQL), and Azure Cloud Shell. He is a frequent writer, blogger, speaker and technical reviewer for subjects based on SQL Server and Microsoft Azure - Data Platform. He is also known as BlobEater.

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Dustin Ryan

Dustin Ryan

Dustin Ryan is a Senior Cloud Solution Architect at Microsoft. He has worked in the business intelligence and data warehousing field since 2008, has spoken at community events such as SQL Saturday, SQL Rally, and PASS Summit, and has a wide range of experience designing and building data solutions using SQL Server and Azure. Prior to his time at Microsoft, Dustin worked as a business intelligence consultant and trainer for Pragmatic Works. He is also an author, contributor and technical editor of books. Dustin resides outside Jacksonville, Florida with his wife, three children, and three-legged cat and enjoys spending time with his family and serving at his local church.

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James Rowland-Jones

James Rowland-Jones

James Rowland-Jones is a principal consultant for The Big Bang Data Company. His focus and passion is to architect and deliver highly scalable analytical platforms that are creative, simple, and elegant in their design. James specializes in big data warehouse solutions that leverage both SQL Server PDW and Hadoop ecosystems. James is a keen advocate for the SQL Server community, both internationally and in the United Kingdom. He currently serves on the board of directors for PASS and sits on the organizing committee for SQLBits (Europe's largest event for the Microsoft Data Platform). James has been awarded Microsoft's MVP accreditation since 2008 for his services to the community.

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Dave Noderer

Dave Noderer

Dave Noderer is a software developer and the CEO / President and founder of Computer Ways, Inc., a software development company since 1994. He is the leader of FlaDotNet holding monthly developer meetup, was a Microsoft MVP for 16 years, and is a co-founder of the Microsoft Cloud South Florida User Group. In 2005 he held the first South Florida Code Camp. This annual, free event now called the South Florida Software Developer Conference attracts over 1000 developers.

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Allan Hirt

Allan Hirt

SQLHA, LLC founder, consultant, trainer, author, and business continuity, infrastructure, and virtualization expert Allan Hirt has been working with SQL Server since 1992 when it was still a Sybase product as well as clustering in Windows Server since the late 1990s when it was known as Wolfpack. Currently a dual Microsoft MVP (Data Platform; Cloud and Datacenter Management) as well as a VMware vExpert, Allan works with all sizes of customers no matter if they are on premises or in the public cloud and delivers training and speaks at events over the world.

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Mitchell Pearson

Mitchell Pearson

Mitchell Pearson has worked as a Data Platform Consultant and Trainer for the last 8 years. Mitchell has authored books on SQL Server, Power BI and the Power Platform. Data Platform experience includes designing and implementing enterprise level Business Intelligence solutions with the Microsoft SQL Server stack (T-SQL, SSIS, SSAS, SSRS), the Power Platform and Microsoft Azure. Mitchell is very active in the community: Running the local Power BI User Group, presenting at user groups locally and virtually, and creating YouTube videos for MitchellSQL

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