#AzureDataStudio

[tinhochd]

Cách Tải Azure Data Studio Miễn Phí – Công cụ Quản lý Dữ liệu Đơn giản

Bạn đang tìm kiếm một công cụ mạnh mẽ để quản lý và phân tích dữ liệu? Azure Data Studio chính là giải pháp lý tưởng với giao diện thân thiện và khả năng hoạt động hợp lý. Bài viết này sẽ hướng dẫn bạn cách tải và cài đặt Azure Data Studio miễn phí chỉ trong vài bước đơn giản. Công cụ này không hỗ trợ nền tảng duy nhất nhưng giúp bạn hoạt động hiệu quả với dữ liệu dịch vụ của Microsoft. Hãy khám phá ngay và tối ưu hóa công việc quản lý dữ liệu của mình! hashtag#AzureDataStudio hashtag#QuảnLýDữLiệu hashtag#TảiMiễnPhíAzure Nguồn link: https://lnkd.in/gpetsivH

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В данном материале представлены основные отличия Azure Data Studio от SQL Server Management Studio. Эти инструменты предназначены для работы с Microsoft SQL Server

[visualstudiocodetutorial]

@peterbb @AzureCosmosDB @AzureDataStudio Check out the Cosmos extension for VS Code! https://t.co/FmaUo3lCkv

[computingpostcom]

Welcome to this guide on how to install and use Azure Data Studio on Rocky Linux 8|AlmaLinux 8. Azure Data Studio initially known as SQL Azure, is a professional and cross-platform database tool using on-premises and cloud data platforms. This tool offers the best and most modern editor experience with code snippets, integrated terminal, source control integration e.t.c. It also has an in-built chart of query result sets and customizable dashboards. With Azure Data Studio, you can easily query, design, and manage your databases on local and cloud platforms. The features associated with Azure Data Studio are well elaborated below. Customizable Server and Database Dashboards: It allows one to get rich customizable dashboards that help monitor and troubleshoot performance issues. Connection management: the server groups provide the easiest way to manage connection information for a given server and databases Integrated Terminal: this allows one to use tools such as PowerShell, Bash, bcp, sqlcmd and ssh within the Azure Data Studio. Extensibility and extension authoring: Azure Data Studio functionality can be enhanced through extensions. Smart SQL code snippets: Codes with the proper syntax to create databases, views, tables, stored procedures, logins, users, and roles are generated with the SQL code snippets. SQL code editor with IntelliSense: It offers the most modern editor with keyword completion, source control integration, code navigation, multiple tab windows e.t.c Let’s dive in! System Requirements: For this setup, you need a system with the following specifications: Memory – 4GB (recommended 8GB) CPU cores – 2 (recommended 4) #1. Download Azure Data Studio The latest general availability(GA) version 1.35.1 for Azure Data Studio was released on March 17, 2022. There are two methods one can use to install the Azure Data Studio on Rocky Linux 8|AlmaLinux 8. These are: Using an RPM file Using Linux tar.gz file This guide demonstrates how to install Azure Data Studio using both RPM and TAR.GZ files. Download the preferred file for installation as below: ##For RPM wget https://go.microsoft.com/fwlink/?linkid=2193238 -O azuredatastudio.rpm ##FOR TAR.GZ wget https://go.microsoft.com/fwlink/?linkid=2193237 -O azuredatastudio.tar.gz The latest insider version build from the main can be downloaded by clicking on the below link: Linux TAR.GZ(insiders build) Once the preferred file is downloaded, proceed as below. #2. Install Azure Data Studio on Rocky Linux 8|AlmaLinux 8 Based on the downloaded file, proceed with the appropriate installation option. Option 1 – Install Azure Data Studio using RPM file With the RPM file downloaded, install Azure Data Studio on Rocky Linux 8|AlmaLinux 8 using the command: sudo yum install azuredatastudio.rpm Sample Output: Dependencies resolved. ======================================= Package Arch Version Repository Size ======================================= Installing: azuredatastudio x86_64 1.36.1-1650577003.el7 @commandline 172 M Installing dependencies: libXScrnSaver x86_64 1.2.3-1.el8 appstream 30 k Transaction Summary ======================================= Install 2 Packages Total size: 172 M Total download size: 30 k Installed size: 513 M Is this ok [y/N]: y Option 2 – Install Azure Data Studio using TAR.GZ file Begin by installing the required tool: sudo yum install libXScrnSaver Extract the downloaded .tar.gz file to /opt: tar -xvf azuredatastudio-linux-*.tar.gz sudo mv azuredatastudio-linux-x64 /opt/azuredatastudio Once extracted, export the PATH variable as below: $ sudo vi /etc/profile export PATH="$PATH:/opt/azuredatastudio" Source the profile: source /etc/profile #3. Use Azure Data Studio on Rocky Linux 8|AlmaLinux 8 Once installed with any of the methods above, launch Azure Data Studio using the command:

azuredatastudio You can as well launch it from the App menu The Azure Data Studio will start as below. Once launched, connect to an SQL Server. I assume you already have one installed, otherwise use the guides below to install the Microsoft SQL Server on your system. Install Microsoft SQL Server on CentOS / RHEL/Rocky Linux/Alma Linux How to install MS SQL on Ubuntu How to install Microsoft SQL Server on Fedora To connect to a database, click on “new connection“. Proceed and provide the SQL Server details as below: On successful authentication, you should see the below page. Create a database Create a database by right-clicking on the server and selecting New query Enter the below code and click run USE master GO IF NOT EXISTS ( SELECT name FROM sys.databases WHERE name = N'TestDB' ) CREATE DATABASE [TestDB]; GO IF SERVERPROPERTY('ProductVersion') > '12' ALTER DATABASE [TestDB] SET QUERY_STORE=ON; GO Once the code runs successfully, you will have the database appear after refreshing databases. Create a table To the connected database(master), we will create a table in TestDB. Switch to the created TestDB context. Now add the below code and run it to create a table: -- Create a new table called 'Customers' in schema 'dbo' -- Drop the table if it already exists IF OBJECT_ID('dbo.Customers', 'U') IS NOT NULL DROP TABLE dbo.Customers; GO -- Create the table in the specified schema CREATE TABLE dbo.Customers ( CustomerId int NOT NULL PRIMARY KEY, -- primary key column Name nvarchar(50) NOT NULL, Location nvarchar(50) NOT NULL, Email nvarchar(50) NOT NULL ); GO After this, right-click on tables and refresh. You will have the table created in TestDB. Insert rows To insert rows in the created table, use the below query: -- Insert rows into table 'Customers' INSERT INTO dbo.Customers ([CustomerId], [Name], [Location], [Email]) VALUES ( 1, N'Orlando', N'Australia', N''), ( 2, N'Keith', N'India', N'keith0@adventure-works.com'), ( 3, N'Donna', N'Germany', N'donna0@adventure-works.com'), ( 4, N'Janet', N'United States', N'janet1@adventure-works.com') GO Run the query. View the data returned by a query Run the following query in the query window. -- Select rows from table 'Customers' SELECT * FROM dbo.Customers; Sample Output: Voila! We have triumphantly walked through how to install and use the Azure Data Studio on Rocky Linux 8|AlmaLinux 8. I hope this was helpful.

[hiramfleitas]

Here’s my Resources slide from this weekend’s presentation. Stay tuned – live recording coming soon.

Resources:

fleitasarts.com

github.com/hfleitas/SentimentPrediction

ailab.microsoft.com

SQL Server R Services Samples: Microsoft Repo

Pre-Trained ML Models: Install in SQL Server

SQL Server Machine Learning Services: Tutorials

SQL Server Components to Support Python: Interaction of Components

Threading ML: Logistic Regression

Resource Governor: Alter External Resource Pool

Interactive deep learning: Learn alert

aka.ms/sqlworkshops

aka.ms/ss19

Speaker: Fleitas, Hiram Location: Nova South Eastern University

2. (Room 2073 – ML) June 8, 2019 at 1:40pm: https://sqlsaturday.com/864/Sessions/Details.aspx?sid=90914

This one was selected by the organizers due to popular interest, so I re-themed the slides and introduced an Azure Data Studio Notebook with Python & T-SQL that calls the cognitive text analytics rest API on a local docker container or the Azure cloud. You can go through the updated deck by looking at the PDF and all the content on my GitHub repo.

Feedback is always important. This is what the attendees rated my presentation.

Mark Neppl, Thank you for taking these photos during the presentation!

All the best, Hiram

Sponsored by

  Sentiment Prediction - Resources 😃 #sqlserver #ML #Azure #ai #AzureDataStudio #sqlpass #sqlsaturday Here's my Resources slide from this weekend's presentation. Stay tuned - live recording coming soon. Resources:

[scarydba]

Here are some tips that make editing Jupyter Notebooks a little easier within Azure Data Studio. I show ways that make modifying text easier and I show some gotchas that get in the way. This technology is just getting started within Azure Data Studio, but it's sure to grow. #azuredatastudio #jupyternotebooks #markdown

[quanrel]

Azure Data Studio: January 2019 Update

https://www.quanrel.com/azure-data-studio-january-2019-update/ Azure Data Studio: January 2019 Update - https://www.quanrel.com/azure-data-studio-january-2019-update/ The team working on Azure Data Studio continues to release updates making the product better and better. I demonstrate one of the improvements in this video. #azuredatastudio #microsoft #azuresqldatabase Check Price & Availability azure sql database,azure,microsoft,microsoft azure,sql database,azure data studio,azure data studio: january 2019 update,sql server,microsoft sql server,t-sql,grant fritchey,grantfritchey,grantbrfr55

[info-comp]

В данном материале представлено 7 полезных расширений для Azure Data Studio, которыми часто пользуются разработчики

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В этом материале мы поговорим о том, как подключиться к Microsoft SQL Server и работать с базами данных из операционной системы Linux

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В Azure Data Studio есть функционал для подключения к PostgreSQL, однако по умолчанию он выключен.

В этом материале подробно рассмотрен процесс подключения к PostgreSQL в Azure Data Studio

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В этом материале будет дан ответ на вопрос: какой инструмент - SQL Server Management Studio, SQL Server Data Tools или Azure Data Studio - использовать для работы с Microsoft SQL Server

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В данном материале рассмотрено 9 наиболее популярных инструментов для работы с Microsoft SQL Server

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Azure Data Studio – это кроссплатформенное приложение, и его можно использовать не только в операционной системе Windows.

Из данного материала Вы узнаете, как установить Azure Data Studio на операционную систему Linux Ubuntu

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В данном материале подробно рассмотрен процесс установки Azure Data Studio на операционную систему Windows 10

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В данном материале подробно рассмотрен функционал и возможности приложения Azure Data Studio.

Azure Data Studio – это бесплатный кроссплатформенный инструмент для работы с базами данных Microsoft SQL Server

[info-comp]

В данном видео подробно рассмотрен процесс установки Azure Data Studio на операционную систему Windows 10