The company adopted serverless in Azure SQL Database and orchestrated data ingestion and processing, using Azure Data Factory and Azure Functions. It uses Power BI on the front end to deliver reports ...

Key Takeaways Interviews for data analysts test technical and business understanding.Practicing real examples helps you ...

🔹 Why This Project Matters • In today’s data-driven world, the ability to transform raw data into meaningful insights is invaluable. • This project highlights the practical skills required by data ...

In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...

Data analytics is the science of analyzing raw data in order to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

Explore essential data modeling techniques for SQL programming, including normalization, star schema, snowflake schema, and data vault, to optimize databases and enhance data consistency.

While creating a proof of concept for a Text-to-SQL tool is straightforward, the challenge lies in navigating complex enterprise data warehouses to identify authoritative data sources that ...

Accelerate your AI application's time to market by harnessing the power of your own data and the built-in AI capabilities of SQL Server 2025, the enterprise database with best-in-class security, ...

Oracle's Database@AWS offering has been made generally available, launching in two Amazon Web Services (AWS) cloud regions, ...

Real-time analytics database share traits with other database types (Image courtesy GigaOm) “To facilitate analytics over large volumes of data with minimal latency, the databases in this category ...

The Zacks Consensus Estimate for ORCL’s fiscal 2026 earnings is pegged at $6.71 per share, which has remained steady over the ...