From Ingestion to Insights: Building a Data Lakehouse Pipeline for GitHub Analytics (Hands-On)
🚀 In this hands-on workshop, we build a complete, production-grade Data Lakehouse running 100% locally in Docker.
Learn how to ingest the real-time public GitHub Archive firehose (1.78M+ events) into transactional Apache Hudi tables on S3/MinIO, catalog them with the Apache Hive Metastore, run distributed SQL analytics with PrestoDB, enforce data-quality gates with Apache Airflow, and visualize insights in Apache Superset, with ZERO ETL data replication.
👉 Register for the workshop: prestodb.io
💻 GitHub Repository & Code: saurabhmahawar/presto_hudi_github_data_pipeline
⭐ Don't forget to STAR the repository if you find it helpful.
📅 DATE: October 15, 2026
⏰ TIME: 9:00 PM IST | 8:30 AM PDT
📌 WHAT YOU'LL LEARN:
✅ PrestoDB Hudi Connector: How distributed PrestoDB (1 Coordinator + 2 Workers) reads Copy-on-Write (COW) Parquet files on S3/MinIO with zero merge overhead.
✅ Schema Evolution & Nested Queries: Using Presto's native SQL dot-notation to query deeply nested, polymorphic structs.
✅ Presto as a Quality Gate: Connecting via PyHive DB-API inside Airflow to run 5 automated SQL assertions (deduplication invariants, volume, freshness) before promoting batches.
✅ Hudi ACID Superpowers: Witnessing in-place record mutations, GDPR point deletes ("Right to be Forgotten"), and timeline rollbacks.
✅ Zero-ETL BI Analytics: Querying Presto live from Apache Superset to power interactive dashboards across 1.78M records without data copies.
---------------------------------------------------------------------------------------------------------------------------
🔗 OFFICIAL LINKS & RESOURCES:
• Workshop Registration: prestodb.io
• Presto Official Website: prestodb.io
• Presto Documentation (Hudi Connector): prestodb.io
• Presto Slack Community: join.slack.com
• Presto GitHub: prestodb/presto
---------------------------------------------------------------------------------------------------------------------------
🤝 Already using Presto?
We’d love to hear about your experience — share your use case with us: forms.cloud.microsoft
---------------------------------------------------------------------------------------------------------------------------
🔔 Subscribe to the channel & turn on notifications for future workshop announcements
#PrestoDB #ApacheHudi #DataLakehouse #DataEngineering #ApacheSpark #ApacheAirflow #Docker #ApacheSuperset #SQL #BigData
3 likes · 1 comment · 248 views
Mentions
From Ingestion to Insights: Building a Data Lakehouse Pipeline for GitHub Analytics (Hands-On) 🚀 In this hands-on workshop, we build a complete, production-grade Data Lakehouse running 100% locally in Docker. Learn how to ingest the real-time public GitHub Archive firehose (1.78M+ events) into transactional Apache Hudi tables on S3/MinIO, catalog them with the Apache Hive Metastore, run distributed SQL analytics with PrestoDB, enforce data-quality gates with Apache Airflow, and visualize insights in Apache Superset, with ZERO ETL data replication. 👉 Register for the workshop: prestodb.io 💻 GitHub Repository & Code: saurabhmahawar/presto_hudi_github_data_pipeline ⭐ Don't forget to STAR the repository if you find it helpful. 📅 DATE: October 15, 2026 ⏰ TIME: 9:00 PM IST | 8:30 AM PDT 📌 WHAT YOU'LL LEARN: ✅ PrestoDB Hudi Connector: How distributed PrestoDB (1 Coordinator + 2 Workers) reads Copy-on-Write (COW) Parquet files on S3/MinIO with zero merge overhead. ✅ Schema Evolution & Nested Queries: Using Presto's native SQL dot-notation to query deeply nested, polymorphic structs. ✅ Presto as a Quality Gate: Connecting via PyHive DB-API inside Airflow to run 5 automated SQL assertions (deduplication invariants, volume, freshness) before promoting batches. ✅ Hudi ACID Superpowers: Witnessing in-place record mutations, GDPR point deletes ("Right to be Forgotten"), and timeline rollbacks. ✅ Zero-ETL BI Analytics: Querying Presto live from Apache Superset to power interactive dashboards across 1.78M records without data copies. --------------------------------------------------------------------------------------------------------------------------- 🔗 OFFICIAL LINKS & RESOURCES: • Workshop Registration: prestodb.io • Presto Official Website: prestodb.io • Presto Documentation (Hudi Connector): prestodb.io • Presto Slack Community: join.slack.com • Presto GitHub: prestodb/presto --------------------------------------------------------------------------------------------------------------------------- 🤝 Already using Presto? We’d love to hear about your experience — share your use case with us: forms.cloud.microsoft --------------------------------------------------------------------------------------------------------------------------- 🔔 Subscribe to the channel & turn on notifications for future workshop announcements #PrestoDB #ApacheHudi #DataLakehouse #DataEngineering #ApacheSpark #ApacheAirflow #Docker #ApacheSuperset #SQL #BigData