685 skills found · Page 7 of 23
Nte-Daniels / Data Migration Sql Server To PostgresData Migration of enterprise Data from SQL Server database to PostgresSQL
SimonCropp / DbToMermaidGenerate Mermaid ER diagrams from SQL Server databases or Entity Framework models.
kumarvna / Terraform Azurerm Mssql DbTerraform Module to deploy a SQL Server, SQL Database, Storage Account in a Resource Group. The module can create an auto-failover group with a private link and geo-redundant database for high availability needs.
drshahizan / Learn AspnetThis course introduces the fundamentals of web development using ASP.NET, with the aim to develop a database (SQL Server) driven website.
a7medhazem / SQL SERVER TASKSThis repository contains a complete set of SQL Server tasks and solutions based on the ITI course by Eng. Rami. It covers topics from database fundamentals to advanced SQL Server concepts, serving as a structured reference for learning, practicing, and revision.
potatoqualitee / Dbatools.AI🤖 PowerShell Copilot and helpful assistant for SQL Server databases and dbatools. Mostly, though, a teaching tool.
ErikEJ / SqlCeBulkCopy.NET Library for loading data fast (doing bulk inserts) into a SQL Server Compact database file. Attempts to mimic the SqlClient SqlBulkCopy API.
ststeiger / Sql ProfilerMicrosoft SQL-Server Profiler (command-line) for Linux/Mac/Windows (works over ssh)
lucianopereira86 / Microservices NetCore Dapper SQLServerMicroservices communication developed with .Net Core and database connection with Dapper and SQL Server.
fynydd / Fynydd.Sqribe.NET 9.0 C# CLI for backup, restore, scripting, and versioning MS SQL Server (MSSQL) databases on Windows, macOS, and Linux
ninianne98 / CarrotCakeCMS MVCA template-based ASP.Net MVC 5 CMS built with C#, SQL server, and JQuery, providing an intuitive WYSIWYG/drag and drop edit experience. Supports multi-tenant webroot and database.
marcominerva / OpenAIEmbeddingSampleAn example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.
ericcobb / SQL Server Index Insight ScriptsA collection of scripts to use with indexes in SQL Server
heraflux / BLGtoSQLQuickly import Perfmon BLG files into a SQL Server database for future analysis
darkain / PudlPHP Universal Database Library - connects to and generates queries for SQL Servers
TayebMehmood / Sqlmap Termux Powerful SQL Injection Tool sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers.
strive4peace / AnalyzerThe Analyzer, which runs in Microsoft Access, documents databases, is menu-driven, easy to use, and generates valuable information for developers and users with databases such as Access, and anything Access can connect to such as SQL Server and Oracle. If you have trouble or ideas, go to http://msaccessgurus.com/tool/Analyzer.htm and send me a message!
yiisoft / Db MssqlMicrosoft SQL Server driver for Yii Database
EMU-CFE / CanvasDataViewerCanvasDataViewer is used to automatically download Canvas Data files into a SQL Server database where you can query and analyze the information.
Ilyushin / EconomicIntelligenceThe project focused on the use of public data to assess the economic situation in the country based on the state of the stock market and national means of payment, in particular - of the national currency. As sources are used: Open data Ministry of Finance of the Russian Federation These Moscow Exchange Google Finance Data Technologies used: Backend: Databases (relational) - Microsoft SQL Server 2014 Databases (multivariate) models DataMining, OLAP-cube - Microsoft Analysis Services 12.0 Веб-сервер - Windows Server 2012 / Internet Information Services Самописный ASP.NET HTTP Restful интерфейс для взаимодействия с Frontend ETL (загрузка и пре-процессинг данных, управление обновлением данных) SQL Server Integration Services 2014 (разработка в Visual Studio 2013, SSDT) Frontend: AngularJS ChartJS Twitter Bootstrap These were chosen so that the detail (granularity) in the set is not less than 1 day. The result has been created and filled with data analytic repository (Kimball model, topology - star), which was used to build a multi-dimensional databases and OLAP-based cubes on it, as well as models of analysis of data on two main algorithms: Microsoft Time Series, Microsoft Neural Network . To ensure interoperability frontend and backend server for backend-server was set up HTTP-Restful interface JSON-issuing documents in the form of finished sets. The project includes two main areas: Intelligent visualization of open data Analysis of open data and the construction of forecasts based on them Intelligent visualization involves the use of MDX-queries to the OLAP-cube, followed by depression (drilldown) in the data, the system allows the user to quickly find the "weak points" of the economy, as part of the data collected. To predict the time a standard mix of algorithms ARTXP / ARIMA, without the use of queries involving cross-prediction (but it is possible to enroll in the system correct data). These algorithms have been tested primarily on foreign exchange rates (US dollar) and the assets of banks included in the special list of Ministry of Finance. In addition, for assets shows the different customization options algorithms - a long-term, short-term and medium-term (balanced) plan. Assessing the impact of oil prices and foreign currency exchange rate for the total market capitalization was conducted on a sample of the data collected: companies with a total market capitalization of 100 to 500 million rubles, present in the market during 2013-2015 Analytical server builds the neural network receiving the input exchange rates, companies, the weighted average share price, total capitalization of the company and the price of oil to requests received models give the opportunity to evaluate the growth rate of \ fall (if at all) the company's capitalization at historical exchange rates and / or the cost of oil. Built a system can expand to include new indicators, which will significantly increase the accuracy of forecasting.
