AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

In addition to delivering quality releases and consistent functionality across these tools and experiences that enable you to efficiently manage and develop with Microsoft SQL Server, we are aiming ...

Add a description, image, and links to the pyspark-aws-etl-sql-data-pipeline topic page so that developers can more easily learn about it.

Abstract: Cloud-based data pipelines are critical for large-scale ETL and big data analytics, yet in-efficient scheduling leads to high costs and resource underutilization. Traditional approaches, ...

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 ...

The no-code ETL tool works by combining a generative AI assistant for pipeline creation and Unity Catalog for governance. Databricks showcased a new no-code data management tool, powered by a ...

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 ...

My name is Pavel, and I am a Data Engineer in the RingCentral Bulgaria office. Ensuring data quality in our Snowflake warehouse used to be an important function in my role. In this piece, I will share ...

Based on the expertise of Intelligent Converters specialists gained from a variety of migration projects, this whitepaper reveals best practices, key bottlenecks, and some tips and tricks for ...