Mayank Tripathi·Oct 13Building My First Healthcare API with Apache NiFi: From HTTP Request to ResponseFrom sending my first POST request with curl to understanding how Apache NiFi receives, processes, and responds to data — with a hands-on…
InEngineering by ExamplebyMayank Tripathi·Oct 11Apache NiFi Finally Made Sense When I Understood These Core ConceptsProcessors, FlowFiles, Connections, Queues, Relationships, Process Groups, and Controller Services — Explained through one simple data…A response icon1A response icon1
Vincenzo Lombardo·Sep 29Anatomia del C2 Protocol per Apache MiNiFi: Come funziona il controllo di flotta Edge “sul filo”💡 Cos’è Apache MiNiFi e perché serve il protocollo C2?
Vincenzo Lombardo·Sep 23SFTPGo: A Flexible multi protocol Server for Integration with Apache NiFiIn ETL projects where the data source has a fairly significant volume, there is often a need to keep the footprint and impact of edge…
InEngineering by ExamplebyMayank Tripathi·Aug 26Apache NiFi Vs Airflow Vs Kafka Vs Spark Vs Custom Scripts: I was Comparing the Wrong ToolsThey can all move or process data — but they are not solving the same problem. Here’s how I finally understood where Apache NiFi fits.
InEngineering by ExamplebyMayank Tripathi·Jul 29Why I’m Learning Apache NiFi (Even in the Age of AI)My journey from Cloud Engineering to Enterprise Data Orchestration — and why I believe Apache NiFi deserves more attention that it gets.
Kasun Nilaweera·Jul 22Building an Idempotent ETL Pipeline with Apache NiFi and PostgreSQLHow I designed a data pipeline that can be re-run any time — after a failure, on a schedule, or by accident — without ever creating a…
Tim Spann·Jul 20All Data and AI Weekly #251–20 July 2026Cortex AI — Agentic AI — Apache Iceberg — Apache NiFi — Semantic Views
Tim Spann·Jul 6All Data and AI Weekly #249–06 July 2026AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AIFN, Search…
Noman Khan·Jul 4Ingesting Terabytes: Why the NiFi vs.“We chose NiFi because it has a nice UI.” “We chose PySpark because it handles big data.” “We rewrote it six months later.”
