The .env file contains database credentials and is excluded from git. See Configuration for available settings.

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Easily export MS Access databases to SQL scripts! This project provides a Python-based utility to export the structure and data of MS Access databases (.mdb, .accdb) into an SQL script. The tool ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract, transform ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

Microsoft offers an array of options for data analytics in its cloud that are meant to operate together as a full analytics stack. Here is an overview of the core services and where each fits. If you ...

Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft says ...

We are excited to announce the general availability of SQL Server 2017 and Machine Learning Services. You can start using Python-based in-database Machine Learning Services for production usage now.