LakeFlow in 60 Seconds
LakeFlow Connect
Zero‑code ingestion from Kafka, Kinesis, cloud storage, and ZerobusDirect Write for IoT and clickstreams.
LakeFlow Pipelines
Declarative SQL & Python transform layer—batch and streaming—built on Spark Declarative Pipelines.
LakeFlow Jobs
Workflow orchestration with branching, looping, and unified monitoring for every ML, SQL, or ingestion task.
Top Production Patterns
IoT Telemetry & Sensors
Ingest boat‑mounted sensor data via Zerobus Direct Write, enrich with geolocation, run anomaly‑detection LakeFlow Pipelines, and trigger maintenance alerts within 2 seconds.
Clickstream & Personalization
Capture billions of web events, generate real‑time customer features, and feed ML models—all orchestrated by LakeFlow Jobs with SLA monitoring.
Change Data Capture (CDC)
Replicate transactional DB changes every ~5 secs, hydrate Bronze → Silver tables using declarative transforms, and serve dashboards without manual DAGs.
Fraud & Threat Detection
Stream ATM logs and card swipes, run sliding‑window graph analytics, and fire PagerDuty incidents in under one minute.
ML Feature Factory
Create online & offline feature sets from unified code, materialize to Delta and Feature Store, and auto‑retrain via LakeFlow Jobs.
Real‑Time BI & Alerts
Power serverless dashboards on fresh data—LakeFlow handles schema drift, backfills, and guided reprocessing.
LakeFlow vs. DIY Orchestration
| Capability | LakeFlow | Airflow + Spark |
|---|---|---|
| Unified batch & streaming DAG | ✅ Declarative SQL/Python | 🚧 Custom sensor/trigger code |
| Zero‑code ingestion connectors | ✅ 200+ sources incl. Zerobus | 🚧 Manual setup / S3 drops |
| Data product lineage | ✅ Built‑in & Unity Catalog | 🚧 External plugin required |
| Cost‑aware auto‑scaling | ✅ Serverless Compute | 🚧 Manual cluster tuning |
Kick‑Start Your LakeFlow Journey
PipeIQ offers assessments, pilot builds, and agent‑driven accelerators to get you production‑ready in weeks—not months.
