However, traditional data engineering approaches struggle with the complexity of pulling in data in different formats. “While conventional ETL [extract, translate and load] data pipelines excel ...

Jigar Shah drives vision in big data engineering, and this is so in today’s fast-evolving data world. He has over 15 years of work experience and has significantly advanced in the art of making ...

AI-driven automation offers businesses a powerful solution to streamline operations, boost efficiency and reduce manual ...

As a key element in what can be considered to be a modern approach to data engineering, I want to explore the “supergraph architecture” as a transformative opinion that can offer a centralised ...

Nexla’s unique approach to data integration enables ... challenges and opportunities in the ever-changing field of data engineering. By advancing connector technology, Nexla is embracing the ...

“It promises a more disciplined and deterministic approach to AI in data engineering, moving beyond code generation and towards agentic orchestration with compiler-like reliability,” Ni said.

This approach improves project outcomes and strengthens the team’s ability to operate effectively on a global scale.\ Strategic Decision-Making Through Collaborative Data Analytics Engineering teams ...