Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...

So many cool Fabric features get announced at Fabcon that it’s easy to miss some of them. The fact that you can now not only generate Excel files from Fabric Dataflows Gen2, but that you have so much ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

A comprehensive end-to-end data analytics project analyzing 110,000+ orders from Brazilian e-commerce platform Olist (2016-2018). This portfolio piece demonstrates advanced SQL, Python ETL, and Power ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

Ever feel like creating custom columns in Power Query is more frustrating than it should be? The process can often feel overwhelming, especially when you’re juggling null values, complex calculations, ...

A comprehensive analytics solution for monitoring marketing performance metrics, campaign ROI, lead generation, and team performance using Power BI, SQL Server, and Python. . ├── database/ # SQL ...

Abstract: Hardware Trojans can potentially be inserted into the design by untrusted manufacturers or during the design phase and can compromise system security and privacy. Extensive research has ...