Build an ETL Pipeline With No Code — Apache Hop Tutorial | From Excel to Product (Ep. 2)

Real data engineering without living in a Jupyter notebook — build an ETL pipeline visually in Apache Hop and load clean data into Postgres. Work with us: https://concepttocloud.com Episode 2 of "From Excel to Product." We take the messy pharma Excel model and turn it into a proper, repeatable pipeline — no code required: - Why no-code ETL beats notebooks for production pipelines - Building the flow visually in Apache Hop - Cleaning and transforming the raw Excel data - Loading it into PostgreSQL, ready to model Chapters: 0:00 Why not notebooks? 5:09 Trimming the model: pivots & dictionaries 12:43 Apache Hop inputs (Tika, Avro...) 17:50 Creating the database Tools: Apache Hop, PostgreSQL, Excel Saiku (open source): https://github.com/spiculedata/saiku Concept To Cloud builds critical systems for missions that can't afford to fail — MVPs, legacy modernisation, cloud, data and AI infrastructure. Ex-NASA engineers. Start a project: https://concepttocloud.com #dataengineering #ETL #ApacheHop #postgres #nocode