Explore the leading data orchestration platforms for 2026 with quick comparisons, practical selection tips, and implementation guidance to keep your data pipelines reliable and scalable.

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 ...

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 ...

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 ...

Microsoft is working to resolve a known issue that causes its Defender for Endpoint enterprise endpoint security platform to incorrectly tag SQL Server software as end-of-life. According to a service ...

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, ...

State and federal law enforcement agencies warned earlier this year that young people were at risk of radicalization on the chat platform Discord, according to government documents obtained by NBC ...

Abstract The following project develops a modern data warehouse using T-SQL through ETL tasks which handle hundreds of thousands of rows associated with the static GTFS (General Transit Feed ...

“We’ve deployed Azure Arc across 2,200 of our database servers. It has helped us simplify the management of our infrastructure, and we now have better visibility into which versions of SQL Server ...