Data Pipeline

Data Pipeline Concept

Data Pipeline Requirements data processing job work just-in-time design should be a scalable solutions data consistency and syncronization common module thinking need some friendly integration continuously review create data pipeline SLA dependency and flow high availability Design relation database hot & cold data layer raw data and aggregation tier data migration plan data TTL & lifecycle How to Application data producer & consumer data model and governance schema migration framework Kafka steaming data processing PostgreSQL master data storage ACID Clickhouse multiple mergeTree table engine materialized view user defined function ETL tools: Airflow Spark

Data Pipeline

January 31, 2026

93 words

1 minute