Introduction At AWS re:Invent 2024, AWS introduced Amazon S3 Tables, a purpose-built solution for managing tabular data at scale, built on the Apache...
Author: Nilay
AI Data Engineering: As A Data Engineer, You Really Need to Learn AI!
While leading data platform Architecture at Hilti and 10+ years of extensive experience working with data, I've witnessed numerous technological shifts in...
Beyond Traditional Data Engineering: Your Guide to Emerging Specializations
Introduction In today's data-driven world, the field of data engineering has evolved far beyond its initial scope. What was once a relatively...
Orchestrate Data Team Leadership: Leadership in the Revolutionary AI Renaissance
Introduction While some industry voices suggest that data teams are predisposed to failure, this perspective overlooks a crucial reality: many teams...
The Future AI Infrastructure: A Leader’s Perspective
The AI data infrastructure landscape is undergoing a significant transformation. I see six critical areas that will define the future of AI infrastructure ...
Advanced Data Strategies for Large Language Models: A Technical Deep Dive
Enhance LLMs with advanced data integration for powerful, context-aware applications! Introduction In the rapidly evolving field of artificial intelligence,...
Normalization vs Denormalization: Optimizing Data Modeling Techniques
Data modeling is a crucial step in designing and implementing effective data storage and retrieval systems. Two widely used techniques in data modeling are...
Build Trust and Reliability — Data Platforms
KPIs for Data Platforms: Maintaining Data Quality, Monitoring, Observability, FinOps, and GreenOps A robust data engineering platform is crucial for...
Why Smart Data Engineers Use LLMs? A Proven Productivity Guide
Increase productivity of your data engineering team and optimize your delivery pace with the help of LLMs. The world of data is exploding, and data engineers...
Why Your Data Architecture Needs FAIR Principles: A Proven Framework for Success
Why FAIR principles? The amount of data we generate continues to explode at an unprecedented rate. Estimates suggest that in 2023, a staggering 120 zettabytes...