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 ...

Have you ever found yourself drowning in a sea of media files, struggling to keep everything organized, encoded, and ready for use? For content creators and media professionals, this is more than just ...

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 ...

[L]oad: The cleaned, transformed data is loaded into a users table within a MySQL database. The script automatically creates the table based on the DataFrame's schema if it doesn't already exist, ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

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 ...

Microsoft's continued focus on SQL Server 2025 highlights the lasting demand for on-premises and hybrid deployments that prioritize performance, control and flexibility for enterprise workloads. In ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...