Learn to transform Spring Boot REST APIs into an event-driven architecture by utilizing Kafka, RabbitMQ, or NATS to enhance scalability, resilience, and responsiveness.
Retry transient failures, route poison messages to a DLQ, and deduplicate with a DB table three layers that turn a fragile Kafka consumer into a fault tolerant one.
Platform turning complex smart meter data into usable, real-time insights via APIs — enabling scalable analytics, efficiency, and smarter energy decisions.
Learn how agentic data pipelines go beyond big data to power modern AI workloads with autonomous decision-making, real-time adaptability, and intelligent data.
Modern Java backend design is evolving from traditional APIs to event-driven architectures, enabling more scalable, resilient, and real-time distributed systems.
Photon is Databricks’ native C++ engine that bypasses JVM bottlenecks by processing data in vectorized, SIMD-accelerated batches instead of row by row.
A comprehensive guide to migrating from Apache Spark 3.x to Spark 4.0, covering breaking changes, new features, and mandatory updates for smooth transition.
Delta Lake prevents pipeline failures from schema drift using schema enforcement and schema evolution, allowing Spark pipelines to adapt safely to new columns.
Deploy and tune Apache Spark on AmpereOne M, with setup steps, cluster configs, and benchmarks showing gains vs Ampere Altra in performance and efficiency.
