Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations. Enterprise resource planning (ERP) implementation can be a ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help. What has always fascinated me about Moore’s law is that for ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Migrating data successfully requires planning and a solid process to control your activities. Read here for data migration best practices. Image: hanss/Adobe Stock ...

In today’s digital world, data is king. With the power to unlock important insights and inform decisions, data is increasingly critical, and federal agencies are prioritizing it as such. GovCon Wire ...

Operational and analytical IT systems have always needed lots of data. But the wave of artificial intelligence and generative AI systems now being developed are pushing the demand for data to new ...

American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...