Designing intelligent systems, one layer at a time.
Every few years, a technology emerges that fundamentally changes how we think about data processing. MapReduce did it in 2004. Apache Spark did it in 2014. And after spending two…
The data engineering landscape has undergone a fundamental transformation over the past decade. What once required massive Hadoop clusters and specialized MapReduce expertise has evolved into a sophisticated ecosystem of…
The convergence of data engineering, data science, and machine learning has created unprecedented demand for unified analytics platforms that can handle diverse workloads without the complexity of managing multiple disconnected…
After two decades of building data platforms, I’ve witnessed the pendulum swing between data lakes and data warehouses multiple times. Organizations would invest heavily in one approach, hit its limitations,…