Data Lakehouse: The Union of Data Lakes and Data Warehouses
For a long time, companies stored their information in data warehouses: large repositories designed ...
From ETL and ELT to EAI: The Future of AI-Driven Data Integration
By 2026, one of the most profound shifts in enterprise technology will be how organizations process ...
Data Intelligence: How Zara Turns Data into Sales
A Coruña, spring 2025. While the big fashion houses display their collections on the catwalks of Mil...
Explainable AI: The Key to Winning Business Confidence in 2025
In 2025, artificial intelligence (AI) is more embedded than ever in the business landscape. Yet, bui...
Real-Time Data Analytics: How to Increase Business Competitiveness
In today’s fast-paced business environment, every second counts and real-time data analytics has bec...
What Is the Importance of Metadata in Data Integration?
In today’s data governance and analytics ecosystems, there’s a foundational element that often goes ...
ETL, ELT and Beyond: 5 Key Trends in Data Integration 2025
Data integration has evolved from a secondary technical task to become, by 2025, the strategic engin...
How to Prepare Your Semantic Model in Power BI to Use Copilot
Since the integration of Copilot into Power BI, the way users interact with data in analytics enviro...
How to Use Copilot Agents in Every Department of the Company
The generative artificial intelligence revolution is already here and, since its emergence, Copilot ...
Adaptive Warehouse: The Future Of Intelligent Data Warehousing
Performance management in data warehouses remains one of the most persistent challenges for enterpri...