This project implements an ETL (Extract, Transform, Load) pipeline in Python using DuckDB to process and analyze log records (in JSON format). The system extracts the data, calculates usage and ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...

We take pride in delivering innovation with each new version of Microsoft SQL Server. However, there comes a time when product lifecycles must conclude. On July 14, 2026, SQL Server 2016 will reach ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...

A robust ETL (Extract, Transform, Load) pipeline for migrating data from Azure SQL Server to PostgreSQL, ensuring complete data transfer with proper validation and reporting. python -m src.main ...