Modern data engineering offers several key benefits that have become essential for businesses today: • Real-Time Analytics: With the advent of real-time data pipelines, ...

KDNuggets, a community site for data professionals, ranked 'We Don't Need Data Scientists, We Need Data Engineers,' by Mihail Eric, a venture capitalist, researcher, and educator, as its top story of ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

How Modern Data Engineering Brings AI, Machine Learning and Data Science to Life Don’t underestimate the value of artificial intelligence (AI), machine learning (ML) and data science. What once used ...

Disruption is constant. Smart manufacturers turn it into opportunity. Join us to discover how data, AI, and automation can ...

Finally, it is important to emphasize the “Engineering” aspect of this pillar. Just because the work is data-centric or SQL-heavy does not warrant a free pass.

For the Data Ingestion category of the modern data stack, clear leaders are Airbyte and Fivetran. Airbyte shows double the number of people that want to try it.

The winds of change are sweeping across the e-commerce industry as visionary technology leaders like Medha Gupta revolutionize digital commerce through modern data architecture, elevating customer ...

Is the modern data stack out over its skis? - SiliconANGLE. ... it doesn’t take [very much] work from an engineering team before you’ve undone all of the gains that you have.

Building A Modern Data Fabric For Connected Vehicles. ... These teams should involve IT, data engineering, operations and business units to ensure alignment on data strategy.