Visual Studio Team Foundation Server Express 2012. Quicken for Mac imports data from Quicken for Windows 2010 or newer, Quicken for Mac 2015 or newer, Quicken for Mac 2007, Quicken Essentials for Mac, Banktivity. 30-day money back guarantee: If you’re not satisfied, return this product to Quicken within 30 days of purchase with your dated receipt for a full refund of the purchase price less shipping and handling fees.Prior to connecting to an MS SQL Server instance from a Mac machine, there are some configuration settings that need to enabled on the SQL Server database.Create a container for sql server to run in, assign a port (1433) and give it a name (sql1).Using SHIFT+ALT to Select Columns and Insert Text. In SSMS for SQL Server 2012 and up, you can also use SHIFT+ALT to insert text in this block mode. First place the cursor in the first row where you would like to insert the text (to the left dbo.DimEmployee in our example).Remote Tools for Visual Studio 2012Upgrade the storage and improve boot time and read/write speed in your iMac Intel 27' Late 2012-2019 with this SSD upgrade bundle. IFixit sells parts and upgrades for your MacBook Air or MacBook Pro with free Fixit Guides-d microsoft/mssql-server-linux:2017-latestCreate a container for your web app, in my case I'm using Visual Studio for Mac and added Docker Support to my projects, so docker-compose.yml actually creates the containers. Sure to assign enough memory to the Docker VM if youre running on Docker for Mac or Windows.Visual Studio 2012 Language Pack.Previously there were many twisty roads that you may have followed if you wanted to use Python on a client system to connect to a Microsoft SQL Server database, and not all of those roads would even get you to your destination. Visual Studio 2012 Feedback Client. Visual Studio 2012 Visualization and Modeling SDK.In all cases I was running SQL Server 2016 on a Windows 10 system. On With The StoryWhile this isn't meant to be an exhaustive reference for SQL Server connectivity from Python and Anaconda it does cover several client/server configurations. As well as a fully worked out example of client-side connection and query.And you can grab a copy of this blog post as a Jupyter Notebook from Anaconda Cloud. That is described in the Client Driver Installation section below.Establish a connection to the SQL Server database with an appropriately constructed connection statement: conn = pyodbc.connect(R'DRIVER= SERVER=sqlserver.testnet.corp,1433 DATABASE=AdventureWorksDW2012 UID=tanya PWD=Tanya1234'Hopefully that doesn't look too intimidating!Here's the scoop: the Python piece is easy (yay Python!) whereas the challenges are installing the platform-specific drivers (Step 1), and if you don't already have a database properly setup then the SQL Server installation, configuration, database loading, and setting up appropriate security credentials are the parts that the rest of this blog post are going to go into in more detail. If you run into any trouble let us know either through the Anaconda Community Support mailing list or on Twitter TL DR: For the ImpatientIf you're the kind of person who just wants the punch line and not the story, there are three core steps to connect to an existing SQL Server database:Install the SQL Server drivers for your platform on the client system. The instructions should work for many versions SQL Server, Python and Anaconda, including Anaconda Enterprise, our commercially oriented version of Anaconda that adds in strong collaboration, security, and server deployment capabilities.
Ssms 2012 How To Setup YourThe user credentials that will be used to make the connectionThe following provides details on how to setup your SQL Server instance to be able to exactly replicate the client-side Python-based connection that follows. The hostname or IP address and port number for your SQL Server instance Your prompt will probably look different! Server Side PreparationIf you are an experienced SQL Server administrator then you can skip this section. Do not include this in any commands if you cut-and-paste. The Windows and Mac Python examples were using Anaconda 4.3 with Python 3.6 and pyodbc version 3.0, while the Linux example used Anaconda Enterprise, based on Anaconda 4.2, using Python 2.7.NOTE: In the examples below the $ symbol indicates the command line prompt. My Mac was running macOS 10.12.4, and my client-side Windows system also used Windows 10. There are instructions on how to install this into your SQL Server instance in Step 3 of this blog post, however you can also simply connect to an existing database by adjusting the connection commands below accordingly.Many of the preparation steps described below are most easily handled using the SQL Server Management Studio which can be downloaded and installed for free.Additionally this example makes use of the Mixed Authentication Mode which allows SQL Server-based usernames and passwords for database authentication. This blog post has been developed using SQL Server 2016 with pyodbc version 3.0.1.This demonstration is going to use the Adventure Works sample database provided by Microsoft on CodePlex. NOTE: The recently released SQL Server 2017 and SQL Server on Azure both require pyodbc version >= 3.2. The easiest way to test this is with telnet from the command line excuting the command:Where you would replace sqlserver.testnet.corp with the hostname or IP address of your SQL Server instance and 1433 with the port SQL Server is running on. While the example below focuses on SQL Server Authentication there are also alternatives presented for the Windows Authentication Mode that uses Kerberos tokens.You should know the hostname and port on which SQL Server is running and be sure you can connect to that hostname (or IP address) and port from the client-side system. It should go without saying that you would only change to Mixed Authentication Mode for testing purposes if SQL Server is not already so configured. Guitar tuner app for macwhich can be found in SQL Server Management Studio It is a 3 step process to get Tanya access to the Adventure Works database:The SQL Server user tanya is added as a Login to the DBMS: In this particular example we are making use of a fictional user named Tanya who has the username tanya and a password of Tanya1234. Executing this command on the client system should return output like: Trying sqlserver.testnet.corp.At which point you can then type CTRL-] and then close.If your client system is also Windows you can perform this simple Universal Data Link (UDL) test.Finally you will need to confirm that your have access credentials for a user known by SQL Server and that the user is permitted to perform SELECT operations (and perhaps others) on the database in question. You won't be surprised to hear that the platform-specific libraries are harder to get setup, but this should still only take 10-15 minutes and there are established processes for all major operating systems. There are two parts to this: the platform specific dynamic libraries for SQL Server, and the Python ODBC interface. For that I would recommend installing the free Microsoft Command Line Utilities 13.1 for SQL Server Client Driver InstallationYou'll now need to get the drivers installed on your client system. under Databases->AdventureWorksDW2012->Security->UsersGrant tanya permissions on the AdventureWorksDW2012 database by executing the following query: use AdventureWorksDW2012 GRANT SELECT, INSERT, DELETE, UPDATE ON SCHEMA::DBO TO tanya Using the UDL test method described above is a good way to confirm that tanya can connect to the database, even just from localhost, though it does not confirm if she can perform operations such as SELECT. Pre-emptively removing some packages that may cause conflicts (I didn't have these installed) Adding the Microsoft RPM repository to the yum configuration This is the process that you'd have to follow if you are using Anaconda Enterprise, as well as for anyone using a Linux variant with Anaconda installed.My Linux test system was using CentOS 6.9, so I followed the RHEL6 installation procedure from Microsoft (linked above), which essentially consisted of 3 steps: ![]()
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