Introduction At AWS re:Invent 2024, AWS introduced Amazon S3 Tables, a purpose-built solution for managing tabular data at scale, built on the...
Category: Data Infrastructure
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...
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 Modern DataOps Matters: A Proven Guide to Data Platform Excellence
The concepts of DevOps, MLOps, DataOps, and FinOps represent distinct yet interconnected disciplines within the IT and operations landscape. In the...
Why Smart Companies Choose GreenOps: A Proven Guide to Sustainable Success
While digitizing world, the environmental impact of data-driven technologies has come under increasing scrutiny. Data platforms, forming the...
Essential Sprint Planning Secrets: Transform Your Data Project Estimations
Streamlining Project Management & Project Estimations: Simplify Your Data Platform’s Agile Process with T-Shirt Sizing. Discover a Practical...
Un-managing data: Data storage are expensive!
Topic Introduction In today’s digital-driven business landscape, data acts as the lifeblood of organizations, fueling decisions, innovations, and...
8 critical principle you should never miss while designing “Data Contracts”
Introduction In the realm of modern data architectures, the concept of a “Data Mesh” has emerged as a paradigm shift, addressing the complexities...
Serverless Computing May Not Be the Sole Path Forward — considerations before you design
In the rapidly evolving landscape of technology, serverless computing has emerged as a popular paradigm, especially in the context of application...
Embracing the Shift: Data Architecture in the Age of Context-Driven Analytics
What is “Context driven analytics”? In the ever-evolving landscape of data analytics, the significance of context cannot be overstated....