0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

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

Machine Learning Services on Linux

Machine Learning is a service, but it's accessible from a SQL Server 2019 on a Linux virtual machine or on-premises Linux host. Data Scientists can connect to and create new data models in Azure Notebooks or the well-known Jupyter Notebooks, using Python and/or R to choose pipelines or run pipelines to perform machine learning.

Supported Linux distributions and installation formats include:

Redhat Enterprise Server
Ubuntu (apt)
SUSE (zypper)
Redhat, SUSE, and CentOS (RPM)

Following the installation and configuration of SQL Server 2019 on Linux, a subsequent installation of the mssql-mlservices package must be performed in the same repository as the existing SQL Server. The process of installing this is dependent upon the Linux distribution (yum for RedHat, apt-get for Ubuntu, and so on), but there are steps that need to be performed afterward in order to complete it successfully:

Add the MSSQL...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at €18.99/month. Cancel anytime

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.

See other products by Kellyn Gorman

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.

See other products by Buck Woody

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.

See other products by Arun Sirpal

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.

See other products by Dustin Ryan

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.

See other products by James Rowland-Jones

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.

See other products by Dave Noderer

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.

See other products by Allan Hirt

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

See other products by Mitchell Pearson

Other recommended products

Related to this chapter

SQL Server on Azure Virtual Machines

SQL Server on Azure Virtual Machines

This book will teach you how to harness the capabilities of SQL Server and the cloud database by taking you through the steps to deploy the server in Azure virtual machine effectively.

Jun 2020 6h 40m

SQL Server on Linux

SQL Server on Linux

Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. With the help of this book you will be able to setup SQL Server on Linux and understand how SQL Server can be installed and implemented on this open source platform.

Aug 2017 7h 24m

ETL with Azure Cookbook

ETL with Azure Cookbook

This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profiling in Azure.

Sep 2020 14h 52m

ETL with Azure Cookbook

ETL with Azure Cookbook

This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profiling in Azure.

Sep 2020 14h 52m

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

Jan 2017 12h 24m

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

Jan 2017 12h 24m

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

Jan 2017 12h 24m

Mastering Microsoft Power BI

Mastering Microsoft Power BI

This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.

Mar 2018 21h 16m

Mastering Microsoft Power BI

Mastering Microsoft Power BI

This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.

Mar 2018 21h 16m

Mastering Microsoft Power BI

Mastering Microsoft Power BI

This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.

Mar 2018 21h 16m

Mastering Microsoft Power BI

Mastering Microsoft Power BI

This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.

Mar 2018 21h 16m

Mastering Microsoft Power BI

Mastering Microsoft Power BI

This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.

Mar 2018 21h 16m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m