Getting Started With Sql Server On Linux

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Getting Started With Sql Server On Linux

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Author : Jasmin Azemović
language : en
Publisher:
Release Date : 2017

Getting Started With Sql Server On Linux written by Jasmin Azemović and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.

"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.This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables.By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment."--Resource description page.

Administering And Developing Sql Server 2017 For Linux

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Author : Agus Kurniawan
language : en
Publisher: PE Press
Release Date : 2017-12-17

Administering And Developing Sql Server 2017 For Linux written by Agus Kurniawan and has been published by PE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-17 with Computers categories.

This is a basic book to explain how to deploy and manage SQL Server 2017 on Linux. The following is a list of topic that covers in this book: * Preparing System Environment * Administering SQL Server 2017 on Linux * Developing Applications for SQL Server 2017 on Linux * SQL Server Integration Services (SSIS) * Backup and Restore * Azure SQL Server 2017 on Linux

Sql Server On Linux

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Author : Jasmin Azemovic
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-14

Sql Server On Linux written by Jasmin Azemovic and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Computers categories.

Bring the performance and security of SQL Server to Linux About This Book Design and administer your SQL Server solution on the open source Linux platform Install, configure, and fine-tune your database application for maximum performance An easy-to-follow guide teaching you how to implement various SQL Server CTP 2.x offerings on Linux—from installation to administration Who This Book Is For This book is for the Linux users who want to learn SQL Server on their favorite Linux distributions. It is not important if you are experienced database user or a beginner as we are starting from scratch. However, it is recommended that you have basic knowledge about relational models. More advanced readers can pick the chapters of their interest and study specific topics immediately. Users from Windows platform can also benefit from this book to expand their frontiers and become equally efficient on both platforms. What You Will Learn Install and set up SQL Server CTP 2.x on Linux Create and work with database objects using SQL Server on Linux Configure and administer SQL Server on Linux-based systems Create and restore database back-ups Protect sensitive data using the built-in cryptographic features Optimize query execution using indexes Improve query execution time by more than 10x using in-memory OLTP Track row-versioning using temporal tables In Detail 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. This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables. By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment. Style and approach This book follows a step-by-step approach to teach readers the concepts of SQL Server on Linux using the bash command line and SQL programming language trough examples which can easily be adapted and applied in your own solutions.

Python And Sql Server Development

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Author : Agus Kurniawan
language : en
Publisher: PE Press
Release Date :

Python And Sql Server Development written by Agus Kurniawan and has been published by PE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

This book covers how to develop Python programs with SQL Server database and Azure SQL Server. Program samples and scenarios are provided to accelerate your learning speed. The following is a list of highlight topics in this book. * Setting up Development Environment * Getting Started - Python and SQL Server * CRUD Operations * Working with Image and Blob Data * Transaction * Stored Procedures * Working with Azure SQL Database and Python

Pro Sql Server On Linux

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Author : Bob Ward
language : en
Publisher: Apress
Release Date : 2018-10-27

Pro Sql Server On Linux written by Bob Ward and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-27 with Computers categories.

Get SQL Server up and running on the Linux operating system and containers. No database professional managing or developing SQL Server on Linux will want to be without this deep and authoritative guide by one of the most respected experts on SQL Server in the industry. Get an inside look at how SQL Server for Linux works through the eyes of an engineer on the team that made it possible. Microsoft SQL Server is one of the leading database platforms in the industry, and SQL Server 2017 offers developers and administrators the ability to run a database management system on Linux, offering proven support for enterprise-level features and without onerous licensing terms. Organizations invested in Microsoft and open source technologies are now able to run a unified database platform across all their operating system investments. Organizations are further able to take full advantage of containerization through popular platforms such as Docker and Kubernetes. Pro SQL Server on Linux walks you through installing and configuring SQL Server on the Linux platform. The author is one of the principal architects of SQL Server for Linux, and brings a corresponding depth of knowledge that no database professional or developer on Linux will want to be without. Throughout this book are internals of how SQL Server on Linux works including an in depth look at the innovative architecture. The book covers day-to-day management and troubleshooting, including diagnostics and monitoring, the use of containers to manage deployments, and the use of self-tuning and the in-memory capabilities. Also covered are performance capabilities, high availability, and disaster recovery along with security and encryption. The book covers the product-specific knowledge to bring SQL Server and its powerful features to life on the Linux platform, including coverage of containerization through Docker and Kubernetes. What You'll Learn Learn about the history and internal of the unique SQL Server on Linux architecture. Install and configure Microsoft’s flagship database product on the Linux platform Manage your deployments using container technology through Docker and Kubernetes Know the basics of building databases, the T-SQL language, and developing applications against SQL Server on LinuxUse tools and features to diagnose, manage, and monitor SQL Server on LinuxScale your application by learning the performance capabilities of SQL ServerDeliver high availability and disaster recovery to ensure business continuity Secure your database from attack, and protect sensitive data through encryption Take advantage of powerful features such as Failover Clusters, Availability Groups, In-Memory Support, and SQL Server’s Self-Tuning Engine Learn how to migrate your database from older releases of SQL Server and other database platforms such as Oracle and PostgreSQLBuild and maintain schemas, and perform management tasks from both GUI and command line Who This Book Is For Developers and IT professionals who are new to SQL Server and wish to configure it on the Linux operating system. This book is also useful to those familiar with SQL Server on Windows who want to learn the unique aspects of managing SQL Server on the Linux platform and Docker containers. Readers should have a grasp of relational database concepts and be comfortable with the SQL language.

Programming For Beginners

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Author : Matthew Python
language : en
Publisher:
Release Date : 2020-10-30

Programming For Beginners written by Matthew Python and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with categories.

Are you even aware of the fact that you are using Linux almost every day?Are you thinking that you have no inkling of the Linux Operating System? Well... this is not the fact. You use it every day without even realizing it. The Linux servers are responsible for running Facebook, Twitter and even Google. It is also the operating system on which various other major internet sites run.Also, are you looking forward to learning how to easily query and update data?A lot of tech enthusiasts trying to develop web and mobile applications are not aware of the most important means of storing and modifying data. Linux is quite synonymous with the cloud. If you intend to work on cloud-based projects, it is always good to learn Linux, especially the essentials. While SQL is one of the most famous database query languages that have taken over almost three-fourths of the internet. Learning SQL is a must for any developer nowadays and with the help of a good eBook, one can understand the basics very well. A complete guide to start learning Linux and SQL is: "Programming for beginners Volume 2: 2 Books in 1: Linux for Beginners and SQL for Beginners" by Matthew Python. Here's what you'll learn: - What is Linux? - What is SQL - Getting started with Linux - What is a Relational Database - Database Security model - Recovery models - Choosing an SSH Client; Connecting via SSH with a password from various OS; Importing and generating SSH Keys on various OS; Connecting via Telnet; Connecting - Backup techniques - Download; install; configure; how to add Graphical user interface; how to add additional software; Troubleshooting; etc. - How to select data - Internet with Linux Directly - How to update and delete data - A brief explanation about control flow tools ...and much more!

Getting Started With Sql

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Author : Thomas Nield
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-02-11

Getting Started With Sql written by Thomas Nield and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-11 with Computers categories.

Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases. Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you’ll also discover how to efficiently design and manage databases to meet your needs. You’ll also learn how to: Explore relational databases, including lightweight and centralized models Use SQLite and SQLiteStudio to create lightweight databases in minutes Query and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BY Join tables to get a more complete view of your business data Build your own tables and centralized databases by using normalized design principles Manage data by learning how to INSERT, DELETE, and UPDATE records

Learning Sql Server Development On Linux

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Author :
language : en
Publisher:
Release Date : 2018

Learning Sql Server Development On Linux written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

Get up to speed with all of the exciting new features available in Microsoft SQL Server 2017, and learn about SQL Server on Linux.

Sql Server Big Data Clusters

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Author : Benjamin Weissman
language : en
Publisher: Apress
Release Date : 2020-05-23

Sql Server Big Data Clusters written by Benjamin Weissman and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-23 with Computers categories.

Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What You Will LearnInstall, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments Analyze large volumes of data directly from SQL Server and/or Apache Spark Manage data stored in HDFS from SQL Server as if it were relational data Implement advanced analytics solutions through machine learning and AI Expose different data sources as a single logical source using data virtualization Who This Book Is For Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

Sql Server Big Data Clusters

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Author : Benjamin Weissman
language : en
Publisher: Apress
Release Date : 2019-11-26

Sql Server Big Data Clusters written by Benjamin Weissman and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Computers categories.

Get a head-start on learning one of SQL Server 2019’s latest and most impactful features—Big Data Clusters—that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database. This book provides a first look at Big Data Clusters based upon SQL Server 2019 Release Candidate 1. Start now and get a jump on your competition in learning this important new feature. Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019 using Release Candidate 1. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What You Will LearnInstall, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments Analyze large volumes of data directly from SQL Server and/or Apache Spark Manage data stored in HDFS from SQL Server as if it were relational data Implement advanced analytics solutions through machine learning and AI Expose different data sources as a single logical source using data virtualization Who This Book Is For For data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environment