There are 1 repository under odbc-driver topic.
This is an Excel Addin for Windows that reads and writes data to Snowflake
⚛️ Buildpack for Heroku to install `ODBC Driver 17 for SQL Server` during the project's build stage. This enables the use of python module `pyodbc` in Heroku.
Laravel package providing InterSystems Cache as a data source using ODBC
Docker image for Python Flask Apps with official Microsoft SQL Driver, NGINX and uWSGI
ODBC connector for Crystal
Building SQLite and SQLiteODBC on Windows with ICU and other extensions using MSVC Build Tools and MSYS2/MinGW
A simple Docker Image set with Python 3.6.5 using Pyenv and ODBC.
Dockerized MDB Tools - Read Access databases on *nix
Making ODBC connection from Databricks (Azure Databricks) to Azure SQL Database with Azure AD User Access Token.
Example implementation of the ODBC driver connection for Dremio and Jupyter Notebook
Action for installing odbc drivers for mssql
sql odbc test for dotnet core on docker using AAD Pod Identity, MSI and Always Encrypted
Library for asynchronous connection and execution of queries to the database via ODBC driver
.NET Core MS Access to JSON file
My First Asp.net MVC Application.
MS Access VBA program for repairing corrupt data in a distributed DB’s Oracle master database.
SAP ODBC Based Unreal Engine 5 ODBC plugin for Windows
Connecting to a MongoDB database through Python using Pymongo Connector
Built a data pipeline by creating tables in MySQL DB, ingested tables to Hadoop for data warehousing and built HiveQL views. Hive views in Linux VM were connected to Power BI application in Windows to create visualizations.
Nix flake for ODBC drivers
Linkis ThriftServer 服务,对外提供 ThriftServer 协议规范,用户可使用 Hive JDBC Driver 和 Hive ODBC Driver 访问 Linkis。
Using yfinance, we grab minute-by-minute BTC-USD data, dump it into PostgreSQL, and link Excel via ODBC for quick analysis!
Northwind Sales Analysis is a 📊 data-driven project that uses SQL and Python 🐍 to create an interactive dashboard, analyzing sales performance and customer trends from the Northwind database. This project offers actionable insights to improve decision-making and understand market dynamics. 🌟
The "Smartphone Market Insights Analysis" project dives into the smartphone market trends and patterns using SQL and Python. 🔍 It evaluates key aspects such as price distribution 💸, user ratings ⭐, and features like processor type ⚙️ and memory card support 🛠️ to deliver actionable insights for both consumers 🛒 and manufacturers 🏢.
nanodbc based Unreal Engine 5 ODBC plugin for Windows platform.
dBase - Query Based