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

DB AI Agent

DB AI Agent AI tools AI assistant ChatGPT Gemini LibreChat ClickHouse MCP ability access to database Skill Best practice and guideline Case studies Silver layer data pipeline design table schema and batch job Data pipeline performance issue High CPU usage Query performance insight Primary key review Table schema upgrade and data migration plan make plan review exam and validation perform and evaluation Why server workload so high? Dashboard query log metrics investigation with LLM Aggregation algorithm documentation to code end to end test What’s Next? Context enhancement RAG Wiki memory lifecycle Sandbox for AI agent test environment reusable dataset

ClickHouse · Data Pipeline · LLM · MCP · Skill

June 24, 2026

99 words

1 minute