Repository profile

saurabhmahawar / presto_mongodb_workshop

A real-time & batch hybrid lakehouse architecture: Stream live GDELT 2.0 events into MongoDB (Hot Tier) via Kafka, batch-load historical archives into Apache Iceberg (Cold Tier) with Spark, orchestrate with Airflow, and serve zero-duplicate federated SQL analytics using PrestoDB and Apache Superset.

apache-airflow
apache-iceberg
apache-kafka
apache-spark
data-lakehouse
mongodb
prestodb

PythonView on GitHub

Repository overview

Public GitHub metrics and OpenPulse observations

GitHub stars23

Public forks17

Growth · 24h+0 stars

Growth · 7d+1 stars

Growth · 30d+23 stars

Star activity

Last 7 days

16 Oct4 observed days · gaps preserved19 Oct

Observed star growth

Samples or dated GitHub history

24h +0 stars Measured from observations 18 Oct 2026 → 19 Oct 2026

7d +1 stars GitHub history · as of 2026-10-17 11 Oct 2026 → 18 Oct 2026

30d +23 stars GitHub history · as of 2026-10-17 30 Sep 2026 → 18 Oct 2026